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Data Science ManagerWho We AreAt Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The RoleAs a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You AreWho You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience •12+ years in IT , Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python •Excellent problem-solving, analytical, and critical thinking skills •Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences •Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail Preferred Skills and Experience •Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering •Professional certification, e.g., Open Certified Data Scientist •Cloud platform certification, e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate •Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio •Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care Being YouDiversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can ExpectWith state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.  At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Kyndryl Solutions Private Limited

Data Scientist

Business Intelligence AdvisorReq ID: 339160 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Business Intelligence Advisor to join our team in Bangalore, Karnātaka (IN-KA), India (IN).Job Description: Databricks ArchitectPosition Overview We are seeking an experienced Databricks Architect to lead the design, implementation, and optimization of our data and analytics ecosystem on the Databricks platform. The ideal candidate will have deep expertise in cloud data engineering, big data processing, advanced analytics, and modern data architecture. This role will be responsible for defining architectural standards, ensuring scalability, and enabling advanced data-driven decision-making across the organization.Key Responsibilities: Architecture &amp; Design * Design end-to-end scalable data solutions using Databricks, Delta Lake, and Spark. * Define standards, best practices, and governance frameworks for Databricks implementations. * Architect real-time, near-real-time, and batch data pipelines for structured, semi-structured, and unstructured data. Data Engineering &amp; Development * Build and optimize ETL/ELT pipelines using Databricks, Spark, Python/Scala, and SQL. * Implement data quality, lineage, and observability frameworks. * Develop and maintain reusable templates, components, and accelerators. Cloud Integration * Integrate Databricks with cloud platforms (Azure, AWS, or GCP) and their native services (e.g., Azure Data Lake, AWS S3, BigQuery, etc.). * Ensure proper security, authentication, and role-based access control in Databricks. * Collaborate with DevOps teams to establish CI/CD pipelines for Databricks workflows. Leadership &amp; Collaboration * Partner with data scientists, analysts, and business stakeholders to understand use cases and design optimal solutions. * Mentor and guide data engineers on Databricks best practices and performance tuning. * Act as the subject matter expert for Databricks within the organization. Required Qualifications: * 8+ years of experience in data engineering, big data, or cloud data platforms. * Proven expertise in Databricks, Apache Spark, and Delta Lake. * Strong programming skills in Python, SQL, and/or Scala. * Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP). * Strong understanding of data modeling, lakehouse architecture, and distributed systems. * Experience with data governance, data security, and compliance practices. * Excellent problem-solving, communication, and leadership skills.Preferred Qualifications:* Databricks Certified Data Engineer Professional or Certified Solutions Architect certification. * Knowledge of BI and reporting tools (Power BI, Tableau, Looker, etc.). * Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow, etc.). * Experience in leading the enterprise-scale data architecture initiatives. * Exposure to cutting-edge technologies in cloud and analytics.About NTT DATANTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at <a href="http://us.nttdata.com/en">us.nttdata.com</a>Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>.NTT DATA endeavors to make <a href="https://us.nttdata.com">https://us.nttdata.com</a> accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. 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. For our EEO Policy Statement, please click <a href="http://us.nttdata.com/en/compliance#eeos">here</a>. If you'd like more information on your EEO rights under the law, please click <a href="http://us.nttdata.com/en/compliance#know-your-rights">here</a>. For Pay Transparency information, please click<a href="http://us.nttdata.com/en/compliance#ppnp"> here</a>.<h4>Experience Level</h4>Senior Level

NTT DATA Global Delivery Services Ltd

Full-stack Developer

Logistics Data Transformation DeveloperExperience: 5 8 Years Work Location: Bangalore, India Reports to: Line Manager<h4>Your Role</h4>As a Logistics Data Transformation Developer, you will work on a wide variety of Business Transformation projects. The role would entail:<ul><li>Understanding the business transformation needs and its impact on the SAP ERP data.</li><li>Participating in customer workshops, gathering and analyzing data requirements.</li><li>Defining the data rules and implementation.</li><li>Active engagement in the entire data transformation/migration cycle.</li><li>Ownership of the module aligned to.</li><li>Communication and collaboration with internal and external project teams.</li></ul>Your Profile Ideally in-depth knowledge, and skills in the following:<ul><li>5 to 8+ years of experience in implementation / support projects/</li><li>migration projects in SAP and ability to write basic to medium level ABAP programs.</li><li>Good to have experience in SAP data migration projects.</li><li>Minimum 2+ years of experience working in SAP Logistics (SD/MM/PP &amp; QM) any of these modules</li><li>Good understanding of the master- and transactional data from functional/process perspective.</li><li>Ability to debug the ABAP code, troubleshoot and fix basic code.</li><li>Knowledge of cross functional integration points.</li><li>Very good analytical and communication skills.</li><li>A self-starter and a team player</li></ul>

Pradeepit Global Consulting Private Limited

BI Developer

Celonis ConsultantJob Description · Data Modeling: Develop, maintain, and optimize Celonis data models, ensuring data consistency and performance forprocess mining. Data modeling with Hana Data base and Vertica SQL is expected.· Data Integration: Extract, transform, and load (ETL) data from various sources (e.g., ERP, CRM, databases) into Celonis.· Process Mining: Collaborate with stakeholders to identify critical business processes and translate them into Celonis datamodels for analysis.· Dashboard Development: Build and maintain dashboards in Celonis to provide actionable insights for stakeholders.· Model Development: Create and optimize process models in OCPM to enable process visualization and diagnostics.· Optimization: Enhance performance of data models and analyses through query optimization and efficient data handling.· Overall experience in Celonis : Minimum 5+ years of experience working with Celonis.· Proficiency in SQL and ETL processes.﻿Technical Skills :1. Celonis      5+ Years Mandatory2.ETL            5+ Years Mandatory3.SQL            ﻿5+ Years Mandatory<h4>Experience Level</h4>Senior Level

Consultant

Data Owner AssociateAs an Associate in the Data Owner team, you will be expected to support processes and procedures that identify, monitor, and mitigate data risks throughout the data life cycle, in compliance with Firmwide policies and standards. Your role involves collaborating with technology and business teams to ensure that data is clearly documented, of good quality and well-protected. By supporting data governance and integration efforts, you will contribute to the organization's ability to make informed, data-driven decisions. This position offers a valuable opportunity to develop your skills and knowledge in a dynamic environment, playing a key role in the company's data strategy initiatives.l Execute operational procedures for developing and delivering data to support business operations, strategic objectives, and advanced analyticsl Assist in capturing and documenting metadata and classifiers for critical data, ensuring understanding of impacts on data providers and consumersl Collaborate with technology and business resources to ensure data sourcing, content and quality meet established requirementsl Participate in data governance and risk management tasks, contributing to data integration efforts and maintaining data publishing standardsl Support the execution of processes to identify, monitor, and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and qualityl Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reportingl Investigate and document potential data quality issues, escalating for remediation as neededl Engage in professional development opportunities to enhance skills and knowledge, supporting overall data strategy initiatives


  


Required Qualifications: l Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field, OR equivalent professional experience in data management, data governance, or a related fieldl 5+ years of overall experience, 2+ years of experience in data mgmt, data governance, risk management / analytics or a related fieldl Strong analytical and problem-solving skills, with attention to detaill Ability to work collaboratively with technology and business teamsl Good communication skills, with the ability to document and convey data-related information clearlyl Basic understanding of data management principles and data lifecycle managementl Proficiency in using data management tools and software, or a demonstrated ability to quickly learn new technologiesJPMorganChase, 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

Senior Data Processing Officer

IN_Associate_Azure Fabric _D&A _Advisory_BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelAssociateJob 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.Responsibilities:· Requirement gathering and analysis · Experience with different databases like Synapse, SQL DB, Snowflake etc. · Design and implement data pipelines using Microsoft Fabric &amp; Databricks · Extract, transform, and load (ETL) data from various sources into Azure Data Lake Storage · Implement data security and governance measures · Monitor and optimize data pipelines for performance and efficiency · Troubleshoot and resolve data engineering issues · Provide optimized solution for any problem related to data engineering · Ability to work with a variety of sources like Relational DB, API, File System, Realtime streams, CDC etc. · Strong knowledge on Databricks, Delta tablesMandatory skill sets:· 3–5 years of experience in Data Engineering or related roles. · Hands-on experience in Microsoft Fabric · Hands-on experience in Azure Databricks · Proficiency in PySpark for data processing and scripting. · Strong command over Python &amp; SQL – writing complex queries, performance tuning, etc. · Experience working with Azure Data Lake Storage and Data Warehouse concepts (e.g., dimensional modeling, star/snowflake schemas). · Understanding CI/CD practices in a data engineering context. · Excellent problem-solving and communication skills.Preferred skill sets:· Experienced in Power BI, or Azure DevOps.· Knowledge of Scala or other distributed processing frameworks. · Exposure to BI tools like Power BI, Tableau, or Looker. · Familiarity with data security and compliance in the cloud.Years of experience required:2 – 4 yearsEducation qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsAzure Service FabricOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 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

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Senior Developer

Senior Data Scientist / Data Scientist (AI/ML)It's fun to work in a company where people truly BELIEVE in what they are doing!We're committed to bringing passion and customer focus to the business.About the RoleWe are looking for a highly motivated and skilled Senior Data Scientist or Data Scientist to join our team.The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with hands-on experience in Python and industry-standard libraries.You will be responsible for deriving actionable insights, building predictive models, and effectively communicating findings through data storytelling.Key Responsibilities• Develop, implement, and optimize machine learning models for predictive analytics and decision-making.• Work with structured and unstructured data to extract meaningful insights and patterns.• Utilize Python and standard data science libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, and Matplotlib for data analysis and model building.• Design and develop data pipelines for efficient processing and analysis.• Conduct exploratory data analysis (EDA) to identify trends and anomalies.• Collaborate with cross-functional teams to integrate data-driven solutions into business strategies.• Use data visualization and storytelling techniques to communicate complex findings to non-technical stakeholders.• Stay updated with the latest advancements in machine learning and AI technologies. Required Qualifications• 5+ years or 8+ years of hands-on experience in data science and machine learning.• Strong proficiency in Python and relevant data science packages.• Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.• Knowledge of SQL and database management for data extraction and manipulation.• Expertise in statistical analysis, hypothesis testing, and feature engineering.• Understanding of Marketing Mix Modeling is a plus.• Experience in data visualization tools such as Matplotlib, Seaborn, or Plotly package• Strong problem-solving skills and ability to work with large datasets.• Excellent communication skills with a knack for storytelling using data.Preferred Qualifications• Experience with cloud platforms such as AWS, Azure, or GCP.• Knowledge of big data technologies like Hadoop, Spark, or Databricks.• Exposure to NLP, computer vision, or deep learning techniques.• Understanding of A/B testing and experimental design.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!<h4>Experience Level</h4>Senior Level

Fractal Analytics Private Limited

AM, Analytical ModelingAM, Analytical Modeling-CPG055748Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. 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, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, 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 Assistant Manager, Analytical Modelling!ResponsibilitiesIn this role, you will be part of a team delivering business intelligence solutions.Responsibilities·       Analytical interpretation using the data provided.·       Drive business decisions using a combination of deep data analysis and executive reporting·       Communicate optimally with both technical and nontechnical partners·       Perform day-to-day analyses associated with the rewards program·       Report out on ongoing loyalty program performance to leadership and cross-functional partners·       Perform ad hoc analyses to identify, execute and measure margin-positive opportunities to grow customers at different stages of the loyalty lifecycle·       Keep tabs on industry trends, growth opportunities, and new and emerging players in the industry, to ensure loyalty programs remain outstanding·       Utilize advanced analytics techniques to tackle business problems. May regularly utilize, update and adapt predictive modeling tools and/or passionate about the application of the tools·       Work extensively with key partners to understand business needs, vet opportunities and deliver analytically based solutions and tools to drive business results·       Provide recommendations and operational insight on existing and new reports and analyses·       Proactively analyze and interpret insight to support changes and improvements to business strategy and planning·       Create intelligent and informative written and visual reports or dashboards·       Consultant will ensure on time and accurate delivery of projects and sub-projects as agreed by the parties Qualifications we seek in you! Minimum qualifications •    MSc in Quantitative Economics/Statistics  •    Must have rich experience in Statistics modelling /Analysis experiencePreferred qualifications •    Storyboarding &amp; dashboarding •    Insight Generation •    Experience in analytics •    Good Teammate •    Partner ManagementWhy join Genpact? <ul type="disc"><li>Lead AI-first transformation – Build and scale AI solutions that redefine industries </li></ul><ul type="disc"><li>Make an impact – Drive change for global enterprises and solve business challenges that matter </li></ul><ul type="disc"><li>Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills </li></ul><ul type="disc"><li>Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace </li></ul><ul type="disc"><li>Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build </li></ul><ul type="disc"><li>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 </li></ul>Come join the 140,000+ coders, 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> Assistant Manager<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> Master's / 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 14, 2025, 12:29:31 PM<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 OperationsJob Category Full Time

Genpact

Business Intelligence Engineer

Sr Staff Machine Learning EngineerThe CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Summary:This job will oversee the strategic direction and execution of machine learning projects. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.Job Description:Essential Responsibilities: <ul><li>Define and drive the strategic vision for machine learning initiatives within the team.</li><li>Lead the development and optimization of machine learning models.</li><li>Oversee the preprocessing and analysis of large datasets.</li><li>Deploy and maintain ML solutions in production environments.</li><li>Collaborate with cross-functional teams to integrate ML models into products and services.</li><li>Monitor and evaluate the performance of deployed models, making necessary adjustments.</li><li>Mentor and guide junior engineers and data scientists.</li><li>Ensure adherence to best practices and industry standards in ML development.</li></ul>Minimum Qualifications:<ul><li>Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.</li><li>Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.</li><li>Proven track record of leading the design, implementation, and deployment of machine learning models.</li></ul>Preferred Qualification:Subsidiary:PayPalTravel Percent:0PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit <a href="https://careers.pypl.com/contact-us" rel="noopener noreferrer" target="_blank">https://careers.pypl.com/contact-us</a>.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit <a href="https://www.paypalbenefits.com/" rel="noopener noreferrer" target="_blank">https://www.paypalbenefits.com</a>.Who We Are:<a href="https://about.pypl.com/who-we-are/default.aspx" rel="noopener noreferrer" target="_blank">Click Here</a> to learn more about our culture and community.Commitment to Diversity and Inclusion  PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.  In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at <a href="mailto:paypalglobaltalentacquisition@paypal.com" rel="noopener noreferrer" target="_blank">paypalglobaltalentacquisition@paypal.com</a>.  Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpaypal.eightfold.ai%2Fcareers%2Fjoin%3Fdomain%3Dpaypal.com&amp;data=05%7C01%7Chmouchel%40paypal.com%7C896c661e48224f2f6c0608db51a99675%7Cfb00791460204374977e21bac5f3f4c8%7C0%7C0%7C638193561037230485%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=iYNNAXZqfoYTLGNP79IEWsPoYxBR8lE1%2BqNN6c2Kmnk%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">Join our Talent Community</a>. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.<h4>Experience Level</h4>Senior Level

Paypal India Pvt Ltd

Data Annotation Engineer

Professional, Statistical AnalysisCalling all innovators – find your future at Fiserv.We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.Job TitleProfessional, Statistical AnalysisRequirements:<ul><li>Necessary- Cash Advance/ banking/ Lending business understanding.</li><li>Necessary- Knowledge of market base sizing and portfolio analytics.</li><li>Data Analytics and univariate analytics using Excel, Python.</li><li>A/b testing of prices &amp; strategies, elasticity of demand.</li><li>Good to have- understanding of marketing campaign framework and executions.</li><li>Eagerness to learn new software (like Palantir, Snowflake)</li><li>Excellent communication &amp; Interpersonal skills.</li></ul>Role &amp; Responsibilities:<ul><li>Portfolio Monitoring &amp; reporting.</li><li>Analysis of total addressable market (TAM) and scope analysis.</li><li>Enhancing business rule engine and optimization of credit risk pipeline.</li><li>Ad hoc Campaign analysis and execution on need basis.</li><li>Conduct A/B price testing.</li><li>Maintain elaborate analysis and process documentation, update trackers.</li><li>Work closely with business/product team understand their need and provide the solutions.</li><li>Oversee technical pipeline upgrades by communicating requirements to DevOps team and validating outcomes.</li><li>Publish weekly MIS for Stakeholders summarizing current status of capabilities.</li></ul>Technical Skills:<ul><li>MS Excel (Must Have)</li><li>MS Powerpoint</li><li>SQL</li><li>Python</li><li>PySpark (Good to have)</li><li>PowerBI (Good to have)</li></ul>Thank you for considering employment with Fiserv.  Please:<ul><li>Apply using your legal name</li><li>Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).</li></ul>Our commitment to Diversity and Inclusion:Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies:Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.Warning about fake job posts:Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.<h4>Experience Level</h4>Senior Level

Fiserv India Pvt Ltd

Research Analyst

Data Scientist - SCPO - Support ServicesOverview:<ul><li>Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work”</li><li>Blue Yonder is the world leader in digital supply chain transformations and omni-channel commerce fulfillment. Our end-to-end, cognitive business platform enables retailers, manufacturers and logistics providers to best fulfill customer demand from planning through delivery. With Blue Yonder, you’ll unify your data, supply chain and retail commerce operations to unlock new business opportunities and drive automation, control and orchestration to enable more profitable, sustainable business decisions. Blue Yonder - Fulfill your Potential™</li><li>Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, with the ability to implement them working with both the platform, and the product teams.</li></ul>What you'll do:<ul><li>Select, build, and optimize classifiers using advanced machine learning techniques.</li><li>Conduct data mining using cutting-edge methods and tools.</li><li>Integrate third-party data sources to enhance the company’s datasets when necessary.</li><li>Refine data collection procedures to ensure relevant data is available for analytic systems.</li><li>Process, cleanse, and verify the integrity of data used for analysis.</li><li>Perform ad-hoc analysis and present results clearly to stakeholders.</li><li>Address customer concerns regarding forecasting issues and data quality, and write codes to perform forecasting checks.</li><li>Building custom scripts and logic using advance ML and AI techniques to solve business problems</li></ul>What we are looking for: Must Have:<ul><li>Solid understanding of machine learning algorithms (e.g., Linear Regression, K-Means Clustering, Naive Bayes).</li><li>Proficiency in data science toolkits such as Python, NumPy, Pandas, Matplotlib, Seaborn (expertise in at least two is required).</li><li>Experience in LLM, NLP techniques and Neural network.</li><li>Experience in supply chain concepts and statistical analysis.</li><li>Knowledge of operations research concepts, including integer, linear, and stochastic programming.</li><li>Strong critical and operational thinking skills.</li><li>Familiarity with data visualization tools such as Streamlit and Power BI.</li><li>Proficiency in query languages such as SQL and Snowflake, or Python-based SQL wrappers.</li><li>Solid grounding in applied statistics, including distributions, hypothesis testing, and regression analysis.</li></ul>Preferred:<ul><li>Familiarity with Dask/parallel processing, Airflow orchestration tools, Postman/API integration.</li><li>Strong scripting and programming capabilities.</li><li>Data-driven mindset with an eye for detail</li></ul>Soft Skills: <ul><li>Must have excellent communication and interpersonal skills to interact with a wide variety of internal personnel with emphasis on follow-through and reporting</li><li>Ability to work calmly under pressure and meet deadlines</li><li>Proven background to have managed multiple stakeholders in a global environment</li><li>Must have strong multi-tasking skills</li><li>Must be self-motivated and quick learner - New technologies, platforms, integrations</li><li>Able to work flexible hours, including evenings, weekends, as warranted by the situation in critical times or to manage customer escalations</li><li>Demonstrates initiative and is inquisitive</li><li>Succeeds in a fast-paced environment</li><li>Demonstrates the ability to work independently without losing team synergy</li><li>Demonstrates customer service ethics and core values</li></ul>Experience:<ul><li>3 to 6 years of relevant experience</li></ul>Our current technical environments/Technical Stack &amp; products:<ul><li>OS – Unix-RHEL, Windows 2008R2 and above.</li><li>Supply chain products: SCPO (Demand &amp; FF, ESP, Promotions, IO, S&amp;OP)</li><li>RDBMS – Oracle 11g and above and SQL/PLSQL 2012 and above, Snowflake</li><li>BA tools – Cognos.</li><li>Interface: SFTP, AS2, DMS, Blue Yonder connect</li><li>Scripting – Perl, Shell, Python is desirable.</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

AI/ML ConsultantSummaryGuidewire is seeking a talented AI/ML Consultant to join our team. The ideal candidate will have expertise in artificial intelligence and machine learning, with a proven track record of developing and implementing AI/ML solutions. You will work closely with cross-functional teams to drive innovation, enhance product capabilities, and deliver advanced analytics and AI-driven features.Job DescriptionKey Responsibilities: ● Design, develop, and deploy AI/ML models and algorithms to solve complex business problems. ● Collaborate with product managers and engineers to integrate AI/ML solutions into Guidewire applications. ● Conduct data analysis, feature engineering, and model evaluation to improve accuracy and performance. ● Stay current with the latest advancements in AI/ML and recommend innovative approaches. ● Document models, processes, and workflows for transparency and reproducibility. ● Provide technical guidance and mentorship to team members.Qualifications: ● Bachelor’s or Master’s degree in Computer Science, Data Science, AI, ML, or a related field. ● Overall years of 4 years experience for senior consultant ● Proven experience in developing AI/ML models, preferably in the insurance or enterprise software domain. ● Strong programming skills in Python, R, or similar languages. ● Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, etc. ● Knowledge of data analytics, data mining, and big data technologies. ● Excellent problem-solving and communication skills. ● Ability to work in a collaborative, fast-paced environment.Preferred Qualifications: ● Experience with cloud platforms such as AWS, Azure, or GCP. ● Familiarity with Guidewire’s platform and ecosystem is a plus. ● Certifications in AI/ML technologies are desirable.About GuidewireGuidewire is the platform P&amp;C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&amp;D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC. Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.<h4>Experience Level</h4>Mid Level

Guidewire Software Solutions India Private Limited

Senior Consultant

Data Science & AI Specialist<h4>Why this job matters</h4>As a Senior Data Scientist with ML/LLM/GenAI skills, you will play a critical role in advancing our AI capabilities and driving the development of innovative solutions that harness the power of machine learning, large language models and generative AI. You will work closely with cross-functional teams to design, implement, and optimize AI models, ensuring they deliver actionable insights and tangible business value. Your expertise will be pivotal in shaping our AI strategy and contributing to the overall success of our AI initiatives.<h4>What you’ll be doing</h4>1.Leads the extraction and analysis of big data through the application of Data Science &amp; AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services. 2.Drives model development, including data exploration, training data, feature extraction, validation and scoring. 3.Drives the development of insightful visualisations to make sophisticated analyses accessible to a broad audience. 4.Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in the context of artificial intelligence and machine learning. 5.Mentors other Data Science &amp; AI professionals, helping to improve the team's abilities by acting as a technical resource. 6.Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence.<h4>The skills you’ll need to succeed</h4>• Experience with fine-tuning and optimizing AI models for specific tasks and domains. • Knowledge of ethical AI practices and the ability to implement fairness, accountability, and transparency in AI systems. • Familiarity with A/B testing, experimental design, and statistical analysis. • Publications or contributions to the AI/ML community through conferences, journals, or open-source projects.<h4>Required Qualifications</h4>• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. • 8+ years of experience in data science, with a focus on Machine Learning, Deep Learning, NLP, LLMs, and generative AI. • Proficiency in programming languages such as Python, R, or Java. • Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers). • Nice to have: In-depth understanding of deep learning techniques and architectures (e.g., Transformers, RNNs, CNNs). • Proven track record of deploying AI models in production environments. • Excellent problem-solving skills and the ability to think creatively and strategically. • Strong communication skills and the ability to convey complex technical concepts to diverse audiences. • Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus.<h4>Our leadership standards</h4>Looking in: Leading inclusively and Safely I inspire and build trust through self-awareness, honesty and integrity. Owning outcomes I take the right decisions that benefit the broader organisation.Looking out: Delivering for the customer I execute brilliantly on clear priorities that add value to our customers and the wider business. Commercially savvy I demonstrate strong commercial focus, bringing an external perspective to decision-making.Looking to the future: Growth mindset I experiment and identify opportunities for growth for both myself and the organisation. Building for the future I build diverse future-ready teams where all individuals can be at their best. About usBT Group was the world’s first telco and our heritage in the sector is unrivalled. As home to several of the UK’s most recognised and cherished brands – BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business.  Over the next two years, we will complete the UK’s largest and most successful digital infrastructure project – connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other.  While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK’s best telco, reimagining the customer experience and relationship with one of this country’s biggest infrastructure companies.   Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era.A FEW POINTS TO NOTE:Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch. We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.DON'T MEET EVERY SINGLE REQUIREMENT?Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.<h4>Experience Level</h4>Senior Level

BT Group

IN_Senior Associate_AI/ML_Data & Analytics_Advisory_PAN IndiaLine 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. 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. "Job Description &amp; Summary: A career within….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:4-8 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, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsArtificial Intelligence SoftwareOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, 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, Machine Learning {+ 25 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

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