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IN_Senior Associate_Data Scientist _Data and Analytics_Advisory_BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:About the Role: We are looking for a highly skilled Data Scientist who can work across the entire data science lifecycle—from feature engineering and model development to deployment and monitoring—using modern ML platforms. The ideal candidate will have hands-on experience with Azure Machine Learning, Databricks, and MLflow, and will be comfortable building scalable solutions for real-world business problems. What will you do: Data Preparation &amp; Feature Engineering · Collect, clean, and preprocess structured and unstructured data from multiple sources. · Perform feature selection, transformation, and creation for optimal model performance. Model Development · Design, train, and validate predictive and prescriptive models using advanced statistical and machine learning techniques. · Experiment with algorithms for classification, regression, clustering, and NLP. Model Deployment &amp; Monitoring · Deploy models into production using MLflow and Azure ML pipelines. · Implement model versioning, reproducibility, and automated retraining strategies. End-to-End ML Lifecycle Management · Manage experiments, track metrics, and maintain model registry in MLflow. · Ensure compliance with MLOps best practices for scalability and reliability. Collaboration &amp; Communication · Work closely with data engineers, business analysts, and stakeholders to translate business requirements into data-driven solutions. · Present insights and recommendations through dashboards and reports.Mandatory skill sets:‘Must have’ knowledge, skills and experiences Technical Expertise · Strong proficiency in Python (pandas, scikit-learn, PySpark) and SQL. · Experience with Azure Machine Learning, Databricks, and MLflow. · Solid understanding of MLOps principles and CI/CD for ML models.Data Science &amp; ML · Hands-on experience in feature engineering, model selection, hyperparameter tuning. · Familiarity with deep learning frameworks (TensorFlow, PyTorch) is a plus. Cloud &amp; Big Data · Knowledge of Azure services like Azure Data Lake, Azure Fabric, and Azure Functions. · Experience working with large-scale data on distributed systems. Soft Skills · Strong problem-solving and analytical skills. · Excellent communication and stakeholder management abilities.Preferred skill sets:‘Good to have’ knowledge, skills and experiences · Familiarity with data lake architectures and delta lake concepts · Familiarity with Azure ML/Databricks MLYears of experience required:· 5-8 yearsEducation qualification:o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsMicrosoft Azure, Python IDLEOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Data Scientist

Senior Director, Data Engineering<h4>Position Summary...</h4>Provides overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing business As the Senior Director of Engineering and Platforms for the Data Ventures at Walmart Global Tech, you will play a pivotal role in shaping the future of our data and analytics capabilities. Leading a talented and diverse team of data engineers distributed across the globe, you will spearhead the development and maintenance of cutting-edge data products that fuel our business growth and customer-centric initiatives.<h4>What you'll do...</h4>About Team:The Data &amp; Customer analytics team in US Omni and Platform tech is dedicated to analyzing customer data, leveraging insights to inform business decisions, and driving improvements in customer experiences across Walmart's retail operations, utilizing advanced data science techniques and tools to understand customer behavior and trends at scale. Walmart Data Ventures operates with the agility of a nimble startup, dedicated to creating the best-in-class suite of Data Products. Walmart Luminate is the first product, which has been created to deliver actionable, customer-centric insights, empowering Retail suppliers and Walmart merchants make data-driven decisions in a smarter, faster, and collaborativeWhat you'll do:<ul><li>Driving the whole engineering charter, bring best practices, solve key enterprise problems for multiple markets</li><li>Coordinate across retail value chain functional teams of data scientists, analysts, product managers, engineers, and business operators on value realization initiatives.</li><li>Develop and leverage a consistent framework to identify and prioritize uses cases based on business value.</li><li>Play a key role to solve complex data problems (business &amp; operational), pivotal to Walmart's business and drive actionable insights and solutions.</li><li>Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems.</li><li>Lead and collaborate with the team to assess customer needs and translate the business problem into an analytical problem.</li><li>Establish data engineering/software engineering best practices and drive the use of state of art techniques with a critical focus on OE and EE across all deliverables.</li><li>Manage end to end development of data products that include traditional RDBMS and big data platforms</li><li>Build and lead a high-performing team of data/sofrware engineering professionals.</li><li>Drive continuous improvement by researching industry best practices and incorporating it to our company</li><li>Drive the execution of multiple business plans for your own project team and deliverables.</li><li>Represent the team in Senior leadership meetings and actively collaborate with business and product groups.</li><li>Research and drive in bringing in open-source solutions into Data space</li><li>Develop and implement best practices and standards across the Data team</li><li>Engage with Global Data leadership globally in setting up priorities for the team</li><li>Create a collaborative environment across geography for delivering best services to the customers around the globe.</li><li>Provide supervision, mentoring and development opportunities for Senior Managers and Senior Data/Solution Architects.</li><li>Attitude to enjoy in a fun, fast-paced environment.</li></ul>What you'll bring:<ul><li>Good academic record and graduated (B.Tech/ M.Tech) from a reputed institution</li><li>Bachelors with 17-22 years of experience OR Masters with 15-20 years of experience in building data integration solutions involving Big Data technologies.</li><li>A strong understanding of data and reporting engines, data modelling and warehousing, and data transformations and pipelines for supporting real time and batch-oriented events processing.</li><li>Experience in leading large/medium sized development team as a Senior Director.</li><li>Experience with relational databases (Oracle / My SQL), non-relational databases (Cassandra, HBase) and Big data technologies like Hadoop, Spark</li><li>Experience in building end-to-end data products (DaaS) using latest technologies and architecture (like microservices architecture). This included good knowledge of DevOps.</li><li>Experience with distributed real time / micro batch computation systems such as Spark</li><li>Experience in the eCommerce domain will be a huge positive</li></ul>Our Ideal Candidate<ul><li>We are looking for a technically strong Senior Director, with a proven background in building and leading a high performing technology team that builds scalable data solutions using the latest technologies. The role is designed to be a mix of team leadership and active collaboration with business leadership.</li></ul>About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.BenefitsBeyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal livesBelongingWe aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.<h4>Minimum Qualifications...</h4>Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in Computer Science and 7 years' experience in software engineering or related field. Option 2: 9 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 5 years' experience in software engineering or related field. 6 years' experience in data engineering, database engineering, business intelligence, or business analytics. 3 years' supervisory experience.<h4>Preferred Qualifications...</h4>Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. <h4>Primary Location...</h4>BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India<h4>Experience Level</h4>Senior Level

Walmart India Pvt Ltd

Data Engineer

Principal Consultnt-Assistant Manager – Data Scientist.Principal Consultnt-Assistant Manager – Data Scientist.-COR032908Ready to shape the future of work?  At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s <a href="https://www.genpact.com/gigafactory" rel="noopener noreferrer" target="_blank">AI Gigafactory</a>, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to <a href="https://media.genpact.com/2025-02-05-Genpact-Accelerates-Innovation-through-Service-as-Agentic-Solutions" rel="noopener noreferrer" target="_blank">agentic AI</a>, our breakthrough solutions tackle companies’ most complex challenges.  If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.  Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at <a href="http://www.genpact.com/" rel="noopener noreferrer" target="_blank">genpact.com </a>and on <a href="https://www.linkedin.com/company/genpact/mycompany/" rel="noopener noreferrer" target="_blank">LinkedIn</a>, <a href="https://twitter.com/genpact" rel="noopener noreferrer" target="_blank">X</a>, <a href="https://www.youtube.com/user/GenpactLtd" rel="noopener noreferrer" target="_blank">YouTube</a>, and <a href="https://www.facebook.com/ProudToBeGenpact/" rel="noopener noreferrer" target="_blank">Facebook</a>. Inviting applications for the role of Principal Consultnt-Assistant Manager – Data Scientist.In this role, The Data Scientist will apply advanced analytics, machine learning, and statistical modeling to generate actionable insights and solve complex business problems. The role involves data collection, cleaning, exploratory analysis, feature engineering, model development, and integration of AI/ML solutions into dashboards and applications. The Data Scientist collaborates with cross-functional teams to ensure models are aligned with business objectives, reproducible, and scalable.This role supports initiatives such as demand forecasting, classification, workforce analytics. By leveraging predictive modelling, NLP, and AI-driven insights, the Data Scientist helps Client make data-driven decisions, optimize operations, and enhance customer and employee experiences across its multinational business functions. Responsibilities·       Model Development &amp; Statistical Analysis - Design, develop, and optimize machine learning, deep learning, and statistical models to solve complex business problems.·       GenAI &amp; LLM Integration – Implement and integrate AI/ML models into GenAI and Agentic AI applications using LangChain, LangGraph, OpenAI APIs, RAG pipelines, and vector databases.·       End-to-End ML Pipelines – Build, deploy, and maintain scalable ML pipelines, from data ingestion and preprocessing to model deployment, monitoring, and lifecycle management.·       Production Deployment &amp; MLOps – Deploy models as APIs or services using Docker, Kubernetes, FastAPI, and cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) while implementing CI/CD for automated testing and versioning.·       Performance Monitoring &amp; Reliability – Monitor model performance in production, detect drift or degradation, and establish alerting mechanisms to ensure reliability, compliance, and governance.·       Analytics Integration – Embed models into real-time dashboards and analytics applications to deliver actionable insights for business and HR stakeholders.·       Governance &amp; Compliance – Ensure model explainability (XAI), security, audit logging, and adherence to ethical, regulatory, and enterprise standards.·       Knowledge Sharing - Conduct and participate in training sessions, workshops, and technical discussions to share insights, AI/ML techniques, and best practices with team members.·       Stakeholder Communication - Translate complex model results, analytics, and AI-driven insights into clear, actionable recommendations for business and non-technical stakeholders.·       Documentation &amp; Enablement - Create well-structured documentation, reproducible workflows, and explanatory reports to support model adoption, operational handovers, and team learning.·       Cross-Functional Collaboration - Works closely with senior data scientists, engineers, and product teams to implement AI/ML solutions, ensuring alignment with project requirements and business objectives.·       Independent Contribution - Executes tasks such as data cleaning, exploratory analysis, feature engineering, and baseline model development under guidance, contributing to end-to-end AI/ML workflows·       Stakeholder Alignment -  Assists in presenting findings, visualizations, and insights to business and HR stakeholders, translating technical results into actionable recommendations. Qualifications We Seek in You!Minimum Qualifications / Skills·       Bachelor’s or Master’s degree in data science, Computer Science, Statistics, Mathematics, or a related quantitative field.·       Relevant year of  hands-on experience in data analysis, machine learning, or AI projects, preferably in corporate or academic settings.·       Certification in areas like GenAI, Databricks etc.Preferred Qualifications / Skills·       Hands-on experience in data preprocessing, exploratory data analysis, and feature engineering to support ML and AI model development.·       Knowledge of machine learning, deep learning, and NLP techniques for classification, regression, clustering, and predictive modelling.·       Proficiency in Python, SQL, ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn), and familiarity with cloud platforms (AWS, Azure, GCP) and data visualization tools.·       Experience integrating models into dashboards, analytics tools, and prototype AI applications.·       Familiarity with MLOps practices, model monitoring, CI/CD workflows, and cloud platforms (AWS, Azure, GCP).·       Ability to translate business problems into data-driven solutions and communicate insights to stakeholders effectively.   Why join Genpact?  ·       Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation  ·       Make an impact – Drive change for global enterprises and solve business challenges that matter  ·       Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities  ·       Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day  ·       Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress  Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.  Let’s build tomorrow together.    Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.     Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.   <h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Job</h4> Principal Consultant<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Primary Location</h4> India-Bangalore<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Schedule</h4> Full-time<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Education Level</h4> Bachelor's / Graduation / Equivalent<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Job Posting</h4> Oct 23, 2025, 11:38:11 AM<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Unposting Date</h4> OngoingMaster Skills List DigitalJob Category Full Time<h4>Experience Level</h4>Senior Level

Genpact

IN_Manager_PMO__Data Analytics_ Advisory_ BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelManagerJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Job Description &amp; Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:· FMCG or CPG Experience is must · MBA from tier-1 business college is must · Experience in working in D&amp;A or Digital transformation projects · Experience of deriving insights from large business data sets with Excel (PowerbI, Alteryx, SQL skills bonus) · Hands on experience eliciting requirements during real time collaborative sessions with stakeholders. · Must have excellent written and verbal communication skills, along with strong consulting skills · Experience in preparation of strategic project/product roadmap · Experience facilitating the development and documentation of use cases · Ability to present and explain project specific information to diverse types of audiences · Strong ability to define and document business and functional requirements, business process maps (""As-Is/To be"") flows and diagrams · Ability to research, classify, and prioritize business, user and functional requirements · Solid skills effectively managing multiple small to large projects in a cross-functional environment.Mandatory skill sets:· Experience in working in D&amp;A or Digital transformation projects · Experience of deriving insights from large business data sets with Excel (PowerbI, Alteryx, SQL skills bonus)Preferred skill sets:· MBA from tier-1 business collegeYears of experience required:3-6Education qualification:B.Tech / M.Tech / MBA / MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsDigital Transformation, Structured Query Language (SQL)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Mid Level

Data Analyst

IN_Manager_AI/ML Engineer_Data & Analytics_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelManagerJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:Main responsibilities will include: o Develop and implement conversational AI solutions that meet client needs. o Build and train natural language processing models to improve accuracy and understanding. o Design and develop conversational interfaces that are intuitive and easy for users to navigate. o Work with cross-functional teams to integrate conversational AI solutions into existing systems. o Troubleshoot and resolve technical issues related to conversational AI solutions. o Stay up to date with the latest developments in conversational AI and identify new opportunities for growth and innovation.Mandatory skill sets:AI Engineer, NLPPreferred skill sets:AI Engineer, NLPYears of experience required:8-12 YearsEducation Qualification : BE, B.Tech, MCA, M.TechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsArtificial Intelligence (AI), Machine LearningOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Mid Level

Business Intelligence Engineer

IN_Manager_AI/ML Engineer_Data & Analytics_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelManagerJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:Main responsibilities will include: o Develop and implement conversational AI solutions that meet client needs. o Build and train natural language processing models to improve accuracy and understanding. o Design and develop conversational interfaces that are intuitive and easy for users to navigate. o Work with cross-functional teams to integrate conversational AI solutions into existing systems. o Troubleshoot and resolve technical issues related to conversational AI solutions. o Stay up to date with the latest developments in conversational AI and identify new opportunities for growth and innovation.Mandatory skill sets:AI Engineer, NLPPreferred skill sets:AI Engineer, NLPYears of experience required:8-12 YearsEducation Qualification : BE, B.Tech, MCA, M.TechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsArtificial Intelligence (AI), Machine LearningOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Mid Level

Automation Process Engineer

Senior AI/ML EngineerJob DescriptionA.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade &amp; is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners.Key Responsibilities:<ul><li>Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value.</li><li>Lead and execute end-to-end AI/ML projects — from data exploration and model development to validation, deployment, and monitoring in production.</li><li>Drive solution architecture using techniques in data engineering, programming, machine learning, NLP, and Generative AI.</li><li>Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking.</li><li>Guide junior and associate AI/ML engineers through technical mentoring, code reviews, and solution reviews.</li><li>Identify and evangelize the adoption of emerging tools, technologies, and methodologies across teams.</li><li>Translate technical outputs into actionable insights for business stakeholders through storytelling, data visualizations, and stakeholder engagement.</li></ul>We are looking for:<ul><li>A seasoned AI/ML engineer with 7+ years of hands-on experience delivering enterprise-grade AI/ML solutions.</li><li>Advanced proficiency in Python, SQL, PySpark, and experience working with cloud platforms (Azure preferred) and tools such as Databricks, Synapse, ADF, and Web Apps.</li><li>Strong expertise in applied text analytics, NLP, and Generative AI, with real-world deployment exposure.</li><li>Solid understanding of model evaluation, optimization, bias mitigation, and monitoring in production.</li><li>A problem solver with scientific rigor, strong business acumen, and the ability to bridge the gap between data and decisions.</li><li>Prior experience in leading cross-functional AI initiatives or collaborating with engineering teams to deploy ML pipelines.</li><li>Bachelor's or master’s degree in computer science, Engineering, Statistics, or a related quantitative field. A PhD is a plus.</li><li>Prior understanding in business domain of shipping and logistics is an advantage.</li></ul>Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing  <a href="mailto:accommodationrequests@maersk.com" rel="noopener noreferrer" target="_blank">accommodationrequests@maersk.com</a>. <h4>Experience Level</h4>Senior Level

Maersk Line India Pvt Ltd

Machine Learning Engineer 4Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.  We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! <h4>Senior Machine Learning Engineer – Adobe Experience Platform</h4><h4>Our Company</h4>At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. Adobe is listed as Fortune’s “100 Best Companies to Work For” for 20 consecutive years. You will also be surrounded by colleagues who are committed to helping each other grow. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.Changing the world through digital experiences is what Adobe’s all about. We give global brands everything they need to design and deliver exceptional digital experiences. We’re passionate about redefining how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.<h4>The Opportunity</h4>Adobe is redefining customer intelligence. We help enterprises understand their customers deeply—what they value, what they need—and translate that understanding into meaningful, personalized experiences.The Adobe Experience Platform (AEP) is at the heart of this mission, powering data integration, governance, advanced analytics, and intelligent services at global scale. Our next chapter focuses on agent-driven AI systems—autonomous, adaptive agents that orchestrate complex workflows, learn from data, and deliver real-time insights and actions.At the core lies our Enterprise Knowledge Base, a foundational platform that unifies structured, unstructured, and semi-structured data. This system fuels advanced AI and Generative AI applications across Adobe’s digital marketing ecosystem—empowering customers to unlock richer, more intelligent experiences.We are looking for a Senior Machine Learning Engineer who thrives on solving hard problems, scaling intelligent systems, and creating measurable impact. You’ll lead the design and development of low-latency, high-throughput services that power intelligent enterprise experiences across millions of users worldwide.<h4>Job Responsibilities</h4><ul><li>Lead the technical design, implementation, and evolution of AEP Knowledge Base and Agentic AI systems.</li><li>Design and deploy high-performance, low-latency distributed systems that scale globally.</li><li>Work hands-on with foundation models (OpenAI, Anthropic, Llama, Gemini) and model adaptation techniques.</li><li>Architect RAG (Retrieval-Augmented Generation) pipelines and optimize vector databases (FAISS, Pinecone, Weaviate, Milvus) for enterprise-grade AI solutions.</li><li>Build evaluation, safety, and guardrail frameworks for responsible AI.</li><li>Collaborate closely with research, platform, and product teams to integrate innovative AI into customer-facing solutions.</li><li>Mentor engineers, drive technical excellence, and foster a culture of continuous learning.</li><li>(Bonus) Contribute to or lead open-source initiatives in the LLM or agent ecosystem.</li></ul><h4>What you will need to succeed</h4><ul><li>6+ years of experience designing and developing large-scale, data-intensive distributed systems.</li><li>2+ years in technical leadership roles, driving architecture and mentoring teams.</li><li>Expertise in vector databases (Pinecone, Weaviate, Milvus) and agent frameworks (LangChain, LlamaIndex, AutoGen, Haystack Agents, Semantic Kernel).</li><li>Hands-on experience with public cloud platforms (Azure, AWS, or GCP).</li><li>Strong background in relational databases (PostgreSQL, MySQL).</li><li>Proficiency in Java, Scala, or Python, and a deep understanding of algorithms and data structures.</li><li>A strong sense of ownership and cost-conscious design for compute and memory efficiency.</li><li>Excellent communication skills and the ability to collaborate effectively with multi-functional teams.</li><li>Bachelor’s, Master’s, or PhD in Computer Science or a related technical field with equivalent experience.</li></ul><h4>Why Adobe</h4>At Adobe, you’ll work in a culture that values creativity, collaboration, and continuous learning. Our Check-In approach fosters open feedback, career growth, and shared success.If you’re ready to shape the future of AI-powered customer experiences and make a global impact—Adobe is the place for you.Adobe is proud to be an <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" rel="noopener noreferrer" target="_blank">Equal Employment Opportunity</a> employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. <a href="https://www.adobe.com/content/dam/cc/en/careers/pdfs/executed-eeo.pdf" rel="noopener noreferrer" target="_blank">Learn more.</a>Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email <a href="mailto:%20accommodations@adobe.com" rel="noopener noreferrer" target="_blank">accommodations@adobe.com</a> or call (408) 536-3015.<h4>Experience Level</h4>Senior Level

Adobe Systems India Pvt Ltd

Data Annotation Engineer

Senior Data Scientist - (Python, ML, Numpy , Professional Services)Scope:You will work closely with customers, product teams, and engineering to:<ul><li>Onboard new clients and configure solutions to their data and business needs.</li><li>Validate data quality and integrity.</li><li>Deploy and monitor machine learning models in production.</li><li>Execute existing ML pipelines to train new models and assess their quality.</li><li>Interpret model performance and provide insights to both customers and internal teams.</li><li>Communicate technical concepts clearly to non-technical stakeholders.</li><li>Provide actionable feedback to product and R&amp;D teams based on field experience.</li></ul> Our Technical Environment:<ul><li>Languages: Python 3.*, SQL</li><li>Frameworks/Tools: TensorFlow, PyTorch, Pandas, NumPy, Jupyter, Flask</li><li>Big Data &amp; Cloud: Snowflake, Apache Beam/Spark, Azure, GCP</li><li>DevOps &amp; Monitoring: Docker, Kubernetes, Kafka, Pub/Sub, Jenkins, Git, TFX, Dataflow</li></ul>What you’ll do:<ul><li>Collaborate with customers and internal teams to understand data, business context, and deployment requirements.</li><li>Perform data validation, enrichment, and transformation to ensure readiness for modelling.</li><li>Execute pre-built ML pipelines to train and retrain models using customer data.</li><li>Evaluate and interpret model performance metrics to ensure quality and stability.</li><li>Monitor model behaviour and data drift in production environments.</li><li>Troubleshoot issues related to data pipelines, model behaviour, and system integration.</li><li>Clearly explain model behaviour, configuration, and performance to customer stakeholders.</li><li>Gather insights from customer engagements and provide structured feedback to product and engineering teams to drive product enhancements.</li><li>Document processes and contribute to playbooks for scalable onboarding.</li><li>Train and mentor junior PS team members.</li></ul> What We’re Looking For:<ul><li>Bachelor’s or master’s in computer science, Data Science, or related field with 5 to 10yrs of experience</li><li>Strong understanding of machine learning and data science fundamentals.</li><li>Proven experience deploying and supporting ML models in production.</li><li>Experience executing ML pipelines and interpreting model performance.</li><li>Excellent problem-solving and debugging skills.</li><li>Strong communication skills with the ability to explain complex technical topics to non-technical audiences.</li><li>Experience working directly with customers or cross-functional teams.</li><li>Familiarity with monitoring tools and best practices for production ML systems.</li><li>Experience with cloud platforms (Azure or GCP preferred).</li><li>Bonus: Experience in supply chain, retail, or similar domains.</li></ul>Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: <a href="https://blueyonder.com/about/core-values" rel="noopener noreferrer" target="_blank">Core Values</a>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.<h4>Experience Level</h4>Senior Level

Blue Yonder Pvt Ltd

Sr Manager Reporting and AnalyticsAs a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.​  Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together.       A role in Digital analytics means partnering with site merch, product, technology, data science and analytics leaders to co-create solutions that maximizes business value and enables key strategies that are critical to the enterprise and for the experiences we create for our guests.  Truly an owner and expert of your product and underlying processes, you will set the vision, align on the roadmap and mobilize teams to deliver needed outcomes. Given most strategies have a business impact, you will also serve as a trusted resource to guide other enterprise partners in their solutions to ensure the success and integrity of end-to-end deliverables.     As a Sr. Manager, Data Analytics in Digital  you will be responsible for reporting, analysis, automation, and data for a specific business function within our Digital organization. In this role, you will serve as an advocate of our data-driven culture, build an effective reporting/data/automation ecosystem that informs and influence business decisions, and provide strategic recommendations on data analytics and automation solutions – in partnership with your team of Data Analysts. You will partner with stakeholders to identify and prioritize the most valuable work for your team to deliver, creating a roadmap for when work will be delivered, along with vision for the team. Through all this, you will build a high performing team through talent pipeline planning, hiring, setting clear expectations, and performance management.  You’ll partner closely with our Finance, Product Management, and Data Sciences partners to identify gaps in reporting and   analytics offerings and democratizing data and insights as you strive to deliver.   Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.  As a Sr Manager Data Analytics for Target’s Digital Analytics team you’ll:     Support our world-class Digital leadership team at Target with critical data analysis that helps business/ technology teams to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. <ul><li>Interfaces with Target business representatives to validate business requirements/requests for analysis and present analytical results.  </li></ul><ul><li>Designs, develops, and delivers analytical solutions resulting in decision support or models </li></ul><ul><li>Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners </li></ul><ul><li>Lead the team of 5-10 analysts. </li></ul><ul><li>Evaluates processes, analyzes and interprets statistical data  </li></ul><ul><li>Develop business acumen and cultivate client relationships  </li></ul><ul><li>Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms.  </li></ul><ul><li>Develop analytical methodologies used in the execution of analytical projects  </li></ul><ul><li>Participate in knowledge sharing system to support iterative model builds   </li></ul><ul><li>Adheres to corporate information protection standards.  </li></ul><ul><li>Keep up to date on industry trends, best practices, and emerging methodologies </li></ul>    About you:   <ul><li>Undergraduate Degree in Information Technology, Computer Science, Applied Mathematics, Statistics, or related work experience </li></ul><ul><li>Minimum of 10 years of experience in data analytics and min. 2 year as people manager. </li></ul><ul><li>Demonstrates understanding of capabilities available in data and analytical tools (e.g. GCP, Postgres, or equivalent) and data visualization tools (e.g. Domo, PowerBI, or equivalent)  </li></ul><ul><li>Has strong problem solving, analytical, and communication skills and ability to manage ambiguity </li></ul><ul><li>Exposure and extensive hands-on work with large data sets. </li></ul><ul><li>Hands on experience in R, Python, Hive or other open-source languages/database  </li></ul><ul><li>Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above </li></ul><ul><li>Git source code management &amp; experience working in an agile environment. Strong attention to detail, excellent diagnostic, and problem-solving skills </li></ul><ul><li>Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines </li></ul><ul><li>Excellent communication, service orientation and strong relationship building skills </li></ul><ul><li>Experience with Retail, Merchandising, Marketing will be strong add ons   </li></ul>Useful Links-  Life at Target- <a href="https://india.target.com/" rel="noopener noreferrer" target="_blank">https://india.target.com/</a>  Benefits- <a href="https://india.target.com/life-at-target/workplace/benefits" rel="noopener noreferrer" target="_blank">https://india.target.com/life-at-target/workplace/benefits</a>  Culture- <a href="https://india.target.com/life-at-target/belonging" rel="noopener noreferrer" target="_blank">https://india.target.com/life-at-target/belonging</a> <h4>Experience Level</h4>Senior Level

Target Corporation India Pvt Ltd

Senior Manager

Quant Analytics ManagerJoin us for an exciting opportunity to lead analytics and drive innovation within Chase Travel’s Data &amp; Analytics team. As a Quant Analytics Manager within the Chase Travel Data &amp; Analytics team, you will collaborate with stakeholders to define measurable goals and develop strategies that elevate product performance and user experience. You will leverage advanced analytics to inform product development, optimize features, and guide investment decisions, contributing to the overall success of Chase Travel.Job responsibilities<ul><li>Develop and execute analytics strategy for Chase Travel product lines, ensuring alignment with business goals</li><li>Partner with product, engineering, and business teams to define and monitor key performance indicators</li><li>Analyze user behavior, conversion funnels, and product performance to identify growth opportunities</li><li>Conduct deep-dive analyses and design, implement, and evaluate A/B tests to optimize product features</li><li>Build and maintain dashboards and reports to communicate product performance to stakeholders</li><li>Collaborate with cross-functional teams to inform product development and go-to-market strategies</li><li>Ensure data integrity and consistency across analytics platforms, working with data engineering teams</li></ul>Required qualifications, capabilities, and skills<ul><li>Bachelor’s degree in statistics, economics, mathematics, or engineering with quantitative research and data analysis</li><li>Five years of team management experience, including managing team members at different levels</li><li>Twelve years of experience with strong SQL, Alteryx, and Tableau skills</li><li>Critical and analytical thinking with strong attention to detail</li><li>Capable of defining metrics, evaluating results, and drawing business insights</li><li>Excellent written and verbal communication skills</li><li>Able to multi-task and prioritize with strong organizational and problem-solving skills</li></ul>Preferred qualifications, capabilities, and skills<ul><li>Experience presenting findings and recommendations to senior leadership</li><li>Familiarity with industry trends and competitor benchmarking</li><li>Exposure to data engineering and infrastructure improvement</li><li>Experience with data-driven storytelling to support strategic growth initiatives</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

JP Morgan Services India Pvt Ltd

Analyst

Senior Machine Learning Engineer<h4>Overview</h4>Working at AtlassianAtlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.<h4>About JSM</h4><a href="https://www.atlassian.com/software/jira/service-management">Jira Service Management</a> (JSM) empowers Dev and Ops teams to collaborate at high-velocity, so they can respond to business changes and rapidly deliver fantastic service experiences to employees and customers. JSM empowers every team, from IT to HR to Legal, to quickly set up a service desk, continuously adapt to scale needs and deliver outstanding service experiences without the complexity of traditional ITSM solutions. By connecting Dev and Ops, JSM accelerates critical development work, eliminates toil, and tracks changes with ease, with a complete audit trail for every change. In short, it enables high-velocity ITSM.<h4>About the team</h4>Agent AI focuses on improving productivity of agents using AI who are working on resolving requests of help-seekers. There are multiple stages in lifecycle of agents - starting from identifying correct category of ticket to closure of tickets, automating all these stages with intervention of AI to assist agents in every possible way. We have our built-in AI engine that combines model based on NLP as well as generative AI to come up with innovative solutions to support agents in quicker resolution of requests.<h4>Responsibilities</h4>What you'll do<ul><li>5+ years of related industry experience in the ML domain</li><li>Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)</li><li>Experience building and scaling machine learning models in business applications using large amounts of data</li><li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story</li><li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"</li><li>Agile development mindset, appreciating the benefit of constant iteration and improvement</li></ul><h4>Qualifications</h4><h4>It's great, but not required, if you have</h4><ul><li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li><li>Experience in developing deep learning-based models and working on LLM-related applications</li><li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions</li></ul>Benefits &amp; PerksAtlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit <a href="http://go.atlassian.com/perksandbenefits">go.atlassian.com/perksandbenefits</a>.About AtlassianAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh">go.atlassian.com/crh</a>.<h4>Experience Level</h4>Senior Level

Atlassian India Llp

Business Analyst, IES ShoppingAre you excited about delighting millions of customers by driving the most relevant marketing initiatives? Do you thrive in a fast-moving, large-scale environment that values data-driven decision making and sound scientific practices? Are you passionate about leveraging data to deliver actionable insights that could impact daily business decisions at Amazon India? Does the prospect of dealing with massive volumes of data excite you? Do you love using data to answer challenging product and customer behavior questions? We are looking for an experienced Business Intelligence Engineer who is self-driven, analytical and has a strong inclination towards identifying right data tends, highlight gaps in existing data and build effective measurement frameworks to improve experience of our shoppers. Candidate should be able to use a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. He/She should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions. He/She will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. This position represents an exciting opportunity to be a part of a dynamic and high paced environment. Key job responsibilities * Conduct end to end deep dives using exploratory data and statistical analysis to create actionable insights * Understanding of stats and ML * Interface with cross functional stakeholders to gather data and metrics requirements. * Developing interactive and flexible visualization dashboards, reporting across products, to drive adoption and increase visibility into key measures of business performance. * Data modeling, Data extraction through ETL and SQL<h4>Basic Qualifications</h4> - 3+ years of business analysis (dealing with large complex data) experience <h4>Preferred Qualifications</h4>- Knowledge of SQL and Excel at a moderate or advanced level Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.<h4>Experience Level</h4>Mid Level

 Amazon India Limited 

Business Analyst

Machine Learning Engineer<h4>HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.</h4><h4>A Career at HARMAN</h4><h4>As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.</h4>Introduction: A Career at HARMAN Technology Services (HTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions.Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs Work at the convergence of cross channel UX, cloud, insightful data, IoT and mobility Empower companies to create new digital business models, enter new markets, and improve customer experiencesAbout the RoleRole: Machine Learning Engineer Total position: 1 Grade: T3(B)- 7 to 8 Years of experience Job Description Resource Skill:Core AI &amp; ML Foundations<ul><li>Strong understanding of Machine Learning (ML) concepts </li><li>Knowledge of Deep Learning architectures </li><li>Experience with Natural Language Processing (NLP) – embeddings, tokenization, text generation, summarization.</li><li>Familiarity with Large Language Models (LLMs) – GPT, LLaMA, Claude, Mistral, etc.</li></ul>Programming &amp; Tools<ul><li>Python (core language for AI/ML).</li><li>Libraries: OpenAI API, Lang Chain.</li><li>Familiarity with REST APIs, GraphQL APIs to integrate AI models.</li><li>Strong SQL skills for data extraction &amp; preparation.</li><li>Experience on Azure platform - Semantic Kernel, Azure Foundry, Agentic AI</li></ul>Skills and Qualifications:<ul><li>Excellent communication and collaboration skills, with the ability to work effectively with diverse stakeholders. </li><li>Proven ability to solve complex data challenges and drive data-driven decision-making.</li><li>Experience working in cross-functional teams and collaborating effectively with different stakeholders.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication skills to document and present technical concepts clearly.</li><li>Master's degree in computer science or information systems or the equivalent combination of education, training, or work experience</li></ul>  Benefits:Opportunities for professional growth and development. Collaborative and supportive work environment.  What We OfferAccess to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.). Professional development opportunities through HARMAN University’s business and leadership academies. An inclusive and diverse work environment that fosters and encourages professional and personal development. “Be Brilliant” employee recognition and rewards program. You Belong HereHARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.About HARMAN: Where Innovation Unleashes Next-Level TechnologyEver since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.If you’re ready to innovate and do work that makes a lasting impact, join our talent community today!HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.<h4>Experience Level</h4>Senior Level

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