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Sr.Data ScientistYou will work with diverse datasets, from structured logs to unstructured events, to build intelligent systems for event correlation, root cause analysis, predictive maintenance, and autonomous remediation, ultimately driving significant operational efficiencies and improving service availability. This position requires a blend of deep technical expertise in machine learning, a strong understanding of IT operations, and a commitment to operationalizing AI solutions at scale.As a Senior Data Scientist, your responsibilities will include, but are not limited to:<ul><li>Machine Learning Solution Development:<ul><li>Design, develop, and implement advanced machine learning models (supervised and unsupervised) to solve complex IT Operations problems, including Event Correlation, Anomaly Detection, Root Cause Analysis, Predictive Analytics, and Auto-Remediation.</li><li>Leverage structured and unstructured datasets, performing extensive feature engineering and data preprocessing to optimize model performance.</li><li>Apply strong statistical modeling, hypothesis testing, and experimental design principles to ensure rigorous model validation and reliable insights.</li></ul></li><li>AI/ML Product &amp; Platform Development:<ul><li>Lead the end-to-end development of Data Science products, from conceptualization and prototyping to deployment and maintenance.</li><li>Develop and deploy AI Agents for automating workflows in IT operations, particularly within Networks and CyberSecurity domains.</li><li>Implement RAG (Retrieval Augmented Generation) based retrieval frameworks for state-of-the-art models to enhance contextual understanding and response generation.</li><li>Adopt AI to detect and redact sensitive data in logs, and implement central data tagging for all logs to improve AI Model performance and governance.</li></ul></li><li>MLOps &amp; Deployment:<ul><li>Drive the operationalization of machine learning models through robust MLOps/LLMOps practices, ensuring scalability, reliability, and maintainability.</li><li>Implement models as a service via APIs, utilizing containerization technologies (Docker, Kubernetes) for efficient deployment and management.</li><li>Design, build, and automate resilient Data Pipelines in cloud environments (GCP/Azure) using AI Agents and relevant cloud services.</li></ul></li><li>Cloud &amp; DevOps Integration:<ul><li>Integrate data science solutions with existing IT infrastructure and AIOps platforms (e.g., IBM Cloud Paks, Moogsoft, BigPanda, Dynatrace).</li><li>Enable and optimize AIOps features within Data Analytics tools, Monitoring tools, or dedicated AIOps platforms.</li><li>Champion DevOps practices, including CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), infrastructure-as-code (Terraform, Ansible, CloudFormation), and automation to streamline development and deployment workflows.</li></ul></li><li>Performance &amp; Reliability:<ul><li>Monitor and optimize platform performance, ensuring systems are running efficiently and meeting defined Service Level Agreements (SLAs).</li><li>Lead incident management efforts related to data science systems and implement continuous improvements to enhance reliability and resilience.</li></ul></li><li>Leadership &amp; Collaboration:<ul><li>Translate complex business problems into data science solutions, understanding their strategic implications and potential business value.</li><li>Collaborate effectively with cross-functional teams including engineering, product management, and operations to define project scope, requirements, and success metrics.</li><li>Mentor junior data scientists and engineers, fostering a culture of technical excellence, continuous learning, and innovation.</li><li>Clearly articulate complex technical concepts, findings, and recommendations to both technical and non-technical audiences, influencing decision-making and driving actionable outcomes.</li></ul></li><li>Best Practices:<ul><li>Uphold best engineering practices, including rigorous code reviews, comprehensive testing, and thorough documentation.</li><li>Maintain a strong focus on building maintainable, scalable, and secure systems.</li></ul></li></ul><ul><li>Education:<ul><li>Bachelors or Master's in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.</li></ul></li><li>Experience:<ul><li>8+ years of  IT and 5+yrs of progressive experience as a Data Scientist, with a significant focus on applying ML/AI in IT Operations, AIOps, or a related domain.</li><li>Proven track record of building and deploying machine learning models into production environments.</li><li>Demonstrated experience with MLOps/LLMOps principles and tools.</li><li>Experience with designing and implementing microservices and serverless architectures.</li><li>Hands-on experience with containerization technologies (Docker, Kubernetes).</li></ul></li><li>Technical Skills:<ul><li>Programming: Proficiency in at least one major programming language, preferably Python, sufficient to effectively communicate with and guide engineering teams. (Java is also a plus).</li><li>Machine Learning: Strong theoretical and practical understanding of various ML algorithms (e.g., classification, regression, clustering, time-series analysis, deep learning) and their application to IT operational data.</li><li>Cloud Platforms:<ul><li>Expertise with Google Cloud Platform (GCP) services is highly preferred, including Dataflow, Pub/Sub, Cloud Logging, Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, Cloud Storage, and Vertex AI.</li><li>Experience with other major cloud providers (AWS, Azure) is also valuable.</li></ul></li><li>DevOps &amp; Tools:<ul><li>Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions).</li><li>Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible, CloudFormation).</li></ul></li><li>AIOps/Observability:<ul><li>Knowledge of AIOps platforms such as IBM Cloud Paks, Moogsoft, BigPanda, Dynatrace, etc.</li><li>Experience with log analytics platforms and data tagging strategies.</li></ul></li></ul></li><li>Soft Skills:<ul><li>Exceptional analytical and problem-solving skills, with a track record of tackling ambiguous and complex challenges independently.</li><li>Strong communication and presentation skills, with the ability to articulate complex technical concepts and findings to diverse audiences and influence stakeholders.</li><li>Ability to take end-to-end ownership of data science projects.</li><li>Commitment to best engineering practices, including code reviews, testing, and documentation.</li><li>A strong desire to stay current with the latest advancements in AI, ML, and cloud technologies.</li></ul></li></ul><h4>Experience Level</h4>Senior Level

Ford Motor

Data Scientist

Sr. BIE, AOP (Analytics Ops & Programs)<h4>Description</h4>AOP team powers the Data and Insights for ROW (Rest of World) Fulfillment Operations. Team is responsible for development of large-scale and business-critical BI and analytics solutions for Operations. AOP team broadly works in three areas: a) Build data products to enable Operations decision making and improve Operations performance. Data products encompass BI/Reporting solutions including development of automated and self-service reports/dashboards and publishing of business-critical decks (xBR, Peak, Contingency) as well as Analytics solutions including development of tools and defect attribution bridges; b) Build science artefacts in realm of forecasting, fraud detection, work productivity improvements and other areas to drive Ops performance; c) Drive analytics-led continuous improvements programs in realm of Ops defect reduction and Cost-savings. This role within AOP would directly work with AOP-leader to: a) Build cross-mile capabilities for ROW marketplaces; b) Set-up and drive adoption of BI Engineering best practices across AOP; c) Develop prototypes as well as launch full-scale solutions incorporating GenAI techniques; d) Build scalable ways to mine business-leading insights at scale for ROW operations. This role is a hands-on role requiring a person to be adept with both existing and new age technologies in data space. This role is flexible to work on all three areas enlisted in AOP scope. About the team AOP team powers the Data and Insights for ROW (Rest of World) Fulfillment Operations. Team is responsible for development of large-scale and business-critical BI and analytics solutions for Operations. We are team having all scope complexity for all Data job families giving you an unique opportunity to explore different roles while solving high-impact Operations problems. <h4>Basic Qualifications</h4>- 10+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining<h4>Preferred Qualifications</h4>- Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership 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.

 Amazon India Limited 

Business Intelligence Engineer

Machine Learning Engineer Coforge is seeking a Machine Learning Engineer for positions in Greater Noida, Pune, and Hyderabad with an immediate to 10-day notice period. Key Requirements:- Experience: 4–8 years in machine learning engineering, encompassing end-to-end model development and deployment.- Programming Skills: Proficiency in Python, with knowledge of ML libraries like TensorFlow, PyTorch, and Scikit-learn.- Framework Expertise: Hands-on experience with MLOps tools such as Kubeflow, Metaflow, Ray, MLflow, or Azure ML.- Cloud Platforms: Strong understanding of AWS, Azure, and GCP for deploying ML workflows.- Containerization: Proficiency in Docker and Kubernetes for containerized model deployment.- Workflow Automation: Familiarity with orchestration tools like Apache Airflow or Prefect for automating pipelines.- Data Engineering: Understanding data preparation processes, including SQL and NoSQL databases.- Version Control: Experience in data and model versioning using tools like DVC or Git.- Monitoring Tools: Knowledge of monitoring frameworks such as Prometheus, Grafana, or ELK stack for pipeline observability.- Problem-Solving: Strong analytical and debugging skills to optimize workflows and troubleshoot production issues.- Collaboration Skills: Effective communication and teamwork abilities to collaborate with cross-functional teams. Interested individuals can forward their resumes.

Coforge

Data Annotation Engineer

Senior Power BI Developer Key Requirements:<ul><li>Experience: 5–7 years in Power BI/BI Development.</li><li>Technical Stack: Deep proficiency in Power BI Desktop, DAX, and complex Power Query transformations.</li><li>Data Architecture: Solid understanding of Data Modeling and hands-on experience with SQL and Data Warehousing.</li><li>Availability: Immediate Joiners ONLY.</li></ul> Share your updated resume now.

eSoftLabs

BI Developer

Senior Analyst – Business Analytics & Insights About the roleThe Global sales &amp; revenue analytics team is responsible to upscale the org towards data driven strategic decision making by adding the intelligence layer on top of InMobi’s robust and complex data - to unlock the revenue potential through analytics, storytelling, and go-to-market strategy. This intelligence layer will be consumed towards realizing efficiencies, unlocking productivity, assessing health of each of our global revenue units.This team, your role, in collaboration with Strategy &amp; Operations team (CEO’ office) will be instrumental in ensuring our journey towards intelligent decision making that will drive the organization to achieve its aggressive revenue growth goals. You will be able to create impact across the organization (Data, Systems, Process and People), that has implications on day-to-day business and organizational health metrics. Who you are<ul><li>Analytical: You appreciate a good spreadsheet, are comfortable with big data sets and are meticulous in your metrics. You have a track record of driving actionable insights that result in measurable growth</li><li>A Do-er: You can execute on complex and ambiguous projects with conviction &amp; good judgement and need minimal guidance &amp; direction</li><li>Collaborative by nature: You have experience partnering cross-functionally with Product, Finance, Marketing and HR, amongst other groups. You’re a strong team player and can work effectively with others across time zones in a global set up</li><li>A strategic thinker: You lean on your market experience and commercial instincts to build and drive the company’s growth strategy</li></ul> What will you be doing?<ul><li>Identify key performance metrics and build exec-facing dashboards to track progress of our high priority revenue initiatives.</li><li>Build effective visualisations to communicate data to key decision-makers using data story telling</li><li>Build predictable mechanisms through data science and machine learning models to track revenue, forecast risks and flag any deviations that may lead to the businesses missing their respective goals. In addition to revenue, also build ways to accurately track the hygiene metrics for the revenue units across engagement, retention etc.</li><li>Help with data backed insights to drive medium &amp; long-term strategy for the business and monthly/quarterly planning &amp; review exercises for different revenue units</li><li>Leverage your intellectual curiosity to understand the company’s underlying business and technical challenges and translating them to into long-term leading and lagging performance indicators that are applicable across business units.</li><li>Leverage analytics and actionable insights to partner directly with the GTM leadership on strategic, organizational, and operational initiatives designed to increase revenue, sales productivity, operational efficiency and forecasting accuracy</li><li>Own and deliver ad-hoc strategic projects for key initiatives that could involve building narratives to drive internal conviction and backing them up with data to validate or negate hypotheses that GTM teams would want to test out for potential new revenue levers</li><li>Work closely with sales team to identify the areas of strengths to capitalize on and opportunities that we are lagging behind on to increase the client and thus revenue for our products</li><li>Establish processes and build products that solve for generating intelligent reports and reduce information overdose while focussing on meaningful consumption of insights within the company</li><li>Communicate your findings to cross-functional peers and management</li><li>Independently collaborate with stakeholders and leaders across various Business units, central strategy, product, sales tech, finance, delivery to align on cross-functional processes that support data integrity and governance &amp; keep improving outcomes and efficiency of initiatives being driven within the unit</li><li>Build models to detect anomalies, investigate and resolve data discrepancies between systems.</li><li>Automate whatever you can!</li></ul>&nbsp;What are we looking for?Skills and Attributes:<ul><li>Gain deep knowledge of many facets of the mobile advertising business such as ad operations, creative services, project management, sales efficiency and productivity</li><li>Quickly grasp external and internal ad tech nuance and leverage to meet business growth</li><li>Develop knowledge of all our data sources and quickly be the go-to-person for extracting and analysing data from these sources.</li><li>Proven ability to wrangle large datasets, extracting insights from data, and summarising learnings / takeaways and drive decision making for various business units leaders</li><li>Ability to learn and adapt to new methodologies for data collection and analysis</li><li>Present insights/findings in a structured manner to directly enable tangible outcomes for stakeholders</li><li>Understand critical interdependencies across functions and divisions, and grasp the short and long-term trade-offs of business decisions.</li><li>Demonstrated aptitude toward Data Storytelling and Root Cause Analysis using data</li><li>Experience with Excel and some dashboarding/data visualisation (i. e. PowerBI,&nbsp;Tableau or similar)</li><li>Experience with SQL/R/Python for data analysis</li><li>3+ years of overall work experience within a Tech/Consulting/Analytics industry</li><li>3+ years of relevant management experience in a business analyst, data analyst or statistical analyst role</li><li>3+ years of work experience with SQL/Python/R, Advanced Excel, any data visualisation tool (Tableau or PowerBI)</li><li>Prior experience within the Adtech industry is a plus</li><li>Should have developed and implemented at least 3 analytics solutions (end to end) which includes translating a business problem into a data analytics problem and providing a sustainable solution</li><li>Trustworthy with high integrity, and ability to maintain appropriate confidentiality</li><li>Patience and stamina to translate long term roadmap into wins and milestones for organizational impact</li><li>Execution-driven and results-oriented to ensure strategy translates to outcomes</li><li>Efficient planning and execution</li><li>Project management abilities: ability to manage long-term (multi-month) integrations, set timelines, and independently drive the process forward.</li><li>Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail</li><li>Plan, prioritise tasks and map stakeholders appropriately</li><li>Excellent written and verbal communication skills</li></ul>

Inmobi Technology Services Pvt Ltd

Business Analyst

Data & Analytics AVP We are seeking individuals proficient in SQL, SAP HANA Cloud, and API integration, with a strong foundation in data engineering and the development of scalable AI-driven applications.An added advantage would be familiarity with Agile methodologies.Experience: 7–15 years Share your resume now.

Live Connections

System Analyst

Sr. BI Developer Skills - PowerBI, ETL, SQL, FabricExperience - 5+ YearsNo. of Openings - 3 Share your resume now.

Dev Information Technology LTD

IN_Associate_Oracle EPM_D&A_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelAssociateJob Description &amp; SummaryAt PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In Oracle enterprise performance management at PwC, you will specialise in providing consulting services for enterprise performance management solutions using Oracle technologies. You will collaborate with clients to assess their performance management needs, design and implement Oracle-based solutions for budgeting, forecasting, financial consolidation, and reporting. Working in this area, you will also provide training and support for seamless integration and utilisation of Oracle enterprise performance management tools, helping clients improve their financial planning and analysis processes and achieve their performance objectives.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:Technical Requirements · EPBCS/PBCS, Essbase · Experience in application performance tuning · Report development experience using Smartview and Hyperion Financial Reporting Studio · Integration experience using Data Management is preferred Candidate Profile · At least 1 domestic client facing implementation experience · Should be well versed with design and development of various Planning components such as data forms, business rules, tasklists, Plan Types (BSO, ASO), EPM Automate, Calculation scripts and Workflow · Good Communication skillsMandatory skill sets:Oracle EPMPreferred skill sets:Oracle EPMYears of experience required:4-8Education qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsOracle Enterprise Performance Management (EPM)Optional SkillsAccepting Feedback, Accepting Feedback, Account Reconciliation, Active Listening, Business Process Analysis, Business Rules Development, Communication, Cost Management, Creating Budgets, Emotional Regulation, Empathy, Enterprise Integration, Finance Industry, Financial Accounting, Financial Advising, Financial Forecasting, Financial Planning, Financial Review, Growth Management, Inclusion, Intellectual Curiosity, Key Performance Indicators (KPIs), Operational Performance Management (OPM), Optimism, Optimization Models {+ 15 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Senior Associate

Senior Data Scientist Work on transformative projects in:<ul><li>Generative AI</li><li>MLOps</li><li>Predictive Analytics</li><li>Machine Learning</li><li>Collaborate with brilliant minds in an innovation-driven, inclusive culture</li><li>Unmatched growth opportunities + access to cutting-edge tools</li></ul> What We’re Looking For:<ul><li>Proven expertise in Generative AI &amp; MLOps</li><li>Strong problem-solving &amp; analytical thinking</li><li>Hands-on experience with top AI/ML frameworks</li><li>Experience - 5–9 years</li></ul> What’s in It for You?<ul><li>Solve high-impact challenges in healthcare, finance, retail, and more</li><li>Be part of a global leader in digital transformation</li><li>Thrive in a culture of creativity, learning, and growth</li></ul> Share your updated resume now.

Publicis Sapient Consulting Pvt Ltd

Business Intelligence AnalystWe’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.Pure Storage, Inc. is seeking a highly skilled and experienced Lead BI Engineer - Tableau Developer to join our team. As a BI Engineer - Tableau Developer, you will be in a customer-facing role, responsible for requirements analysis, design and implementing effective data visualization solutions, creating interactive reports and dashboards, and providing valuable insights to drive data-informed decision-making across the organization. While proficiency in Tableau is the primary requirement for this role, expertise in similar tools like QlikView/Qlik Sense, Salesforce CRM Analytics , Power BI,  or AWS QuickSight will be advantageous for effectively integrating data from diverse sources.Technical Qualifications:<ul><li>8+years of experience in designing and developing interactive dashboards and reports in Tableau that effectively communicate complex data insights to non-technical users.</li><li>3+years of working knowledge on Snowflake is a Plus</li><li>Highly Proficient and hands on - Complex SQL </li><li>Familiarity with working with GTM data and exposure to Salesforce.</li><li>Having done Quality Assurance in prior roles as additional responsibilities.</li><li>Be able to operate as a Fullstack BI engineer when need be.</li><li>Experience with Salesforce Einstein Analytics &amp; SOQL is value add.</li><li>Hands-on experience on Python , Pyspark.</li><li>Develop and maintain data sources, data extracts, and data models to support reporting and analytics needs.</li><li>Stay up-to-date with the latest trends and advancements in Tableau software and data visualization techniques, and incorporate new features and capabilities into existing reports and dashboards.</li><li>Identify and troubleshoot issues with existing Tableau reports and dashboards, and implement solutions to optimize performance and usability.</li><li>Work closely with the data engineering team to ensure data quality, consistency, and accuracy.</li><li>Collaborate with business stakeholders and data analysts to understand business requirements and translate them into actionable insights and reporting solutions.</li></ul><ul><li>Bachelor's degree in Computer Science, Information Systems, Math, Statistics, or a related field.</li><li>Strong understanding of data visualization and design principles, with the ability to transform complex data sets into simple and intuitive visualizations.</li><li>Solid understanding of data modeling, database design, and SQL.</li><li>Experience with data integration, ETL, and data warehousing concepts.</li><li>Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams Strong communication skills.</li><li>An ability to talk both to the technical teams responsible for the data and comfortable explaining data and conclusions to non-technical teams.</li><li>Tableau Desktop and Tableau Server Certification is a plus.</li><li>Experience with Cloud Database systems like Snowflake or AWS Redshift will be a plus. Soft Skills:<ul><li>Be a self-starter who takes autonomy and pride in your work.</li><li>Have the ability to think independently while also working in a collaborative environment.</li><li>Not be afraid to ask for help, voice your opinion, or make suggestions for improvements.</li><li>Be a fast learner and have a passion and drive for continuous learning and challenging yourself.</li><li>Be able to have fun in the midst of stress while maintaining great attention to detail.</li><li>Adapt quickly to new situations and be forward-thinking.</li><li>Have a clear and transparent communication style.</li><li>Be creative and want to use your creativity to move the business forward.</li><li>Have a willingness and openness to learning new practices, platforms, and technologies.</li></ul> This is a full time position and the candidate is expected to report into Pure Storage’s Bangalore Office. </li></ul>WHAT YOU CAN EXPECT FROM US:<ul><li>Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers.</li><li>Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®!</li><li>Pure Team: We build each other up and set aside ego for the greater good.</li></ul>And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out <a href="http://purebenefits.com">purebenefits.com</a> for more information.ACCOMMODATIONS AND ACCESSIBILITY:Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at <a href="mailto:TA-Ops@purestorage.com">TA-Ops@purestorage.com</a> if you’re invited to an interview.OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.<h4>Experience Level</h4>Mid Level

Pure Storage India Pvt Ltd

PySpark Lead&nbsp;&nbsp;About the job:We are seeking a highly skilled and experienced Data Engineer with expertise in Python and PySpark to join our team. The ideal candidate will have 7 to 10 years of experience in designing, developing, and maintaining scalable data pipelines. You will work with large datasets, both structured and unstructured, and develop data models for data scientists and analysts. Your role will involve optimizing Spark jobs, designing data integration workflows, and ensuring the reliability and stability of data pipelines..&nbsp;&nbsp;&nbsp;Know your team:At ValueMomentum’s&nbsp;Engineering Center, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.&nbsp;Join a team that invests in your growth. Our&nbsp;Infinity Program&nbsp;empowers you to build your career with role-specific skill development, leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.&nbsp;&nbsp;Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines using PySpark and related big data technologies.</li><li>Work with large datasets and develop data models for consumption by data scientists and analysts.</li><li>Optimize Spark jobs for better performance and resource management.</li><li>Design and implement data integration workflows between various data sources.</li><li>Troubleshoot and resolve issues related to data pipelines.</li><li>Collaborate with cross-functional teams to understand business requirements and deliver solutions.</li><li>Ensure data quality and cleanliness using validation and transformation techniques.</li><li>Write and maintain efficient, scalable code in Python and PySpark.</li><li>Manage data storage, computation, and scaling on cloud platforms like AWS or Azure.</li></ul> Requirements:<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>2 to 4 years of experience with PySpark for data processing on large-scale datasets.</li><li>Solid understanding of Spark architecture, including RDDs, DataFrames, and Datasets.</li><li>Strong programming experience in Python, including libraries such as pandas, numpy, and matplotlib.</li><li>Experience with Hadoop, Hive, and NoSQL databases (e.g., Cassandra, MongoDB).</li><li>Working knowledge of cloud computing services (e.g., AWS, Azure, or Google Cloud).</li><li>Familiarity with batch and stream processing (using Kafka, Flink, Spark Streaming).</li><li>Strong problem-solving skills and attention to detail.</li><li>Excellent communication and teamwork skills.</li></ul>&nbsp;Good To Have:<ul><li>Experience with Apache Airflow or other orchestration tools.</li><li>Familiarity with Docker or Kubernetes for containerized data environments.</li><li>Experience in implementing and managing CI/CD pipelines, focusing on automating, testing, and deploying code.</li></ul> Experience: 2-10 Years

ValueMomentum Software Services Pvt Ltd

Data Engineer

Machine Learning Tech Lead, Data and Evaluations, AIRX<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree or equivalent practical experience.</li><li>8 years of experience in Software Development.</li><li> 5 years of experience with design and architecture and testing/launching software products.</li><li>5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li><li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Experience with Partners and Devices product portfolio and an understanding of how AI can be leveraged.</li><li>Experience in working with distributed teams across multiple time zones, fostering strong communication, collaboration, and a sense of shared purpose even in a remote work environment.</li><li>Ability to work with teams, including product managers, Machine Learning software engineers, and other stakeholders, to drive AI adoption and integration.</li><li>Ability to build relationships globally, ensuring collaboration between local and US-based teams to deliver AI-driven solution.</li></ul><h4>About the job</h4>Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. <h4>Responsibilities</h4><ul><li>Build comprehensive ML driven evaluations for AI systems (on-device, server based, private compute and Hybrid)  and critical user journeys, designed to be adaptable across various applications across P&amp;D</li><li>Build infrastructure and tooling needed to support evaluations across P&amp;D and drive visibility on performance at an exec level </li><li>Build ML-based Auto raters for easy creation, execution scaling and evaluation.</li><li>Improving the scope and quality of datasets and Upstreaming new datasets and evaluations to Gemini OneRecipe (when applicable).</li><li>Leverage SWE Agents to create agentic flows that automate evals creation and TL a high performing team</li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Senior Associate L2 - DS-AI & Machine Learning Publicis Sapient is looking for a highly capable Machine Learning Engineer to join its Data CoE. As part of the team, you will be responsible for creating data-driven solutions. You will be working on various MLOps stages namely deployment, governance, reproducibility, and monitoring of ML models. You will be evaluating new or existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software s predictive automation capabilities. You will be participating in the development of machine learning apps that meet business needs. You will also communicate with clients and stakeholders to understand business objectives and how to achieve them using machine learning.Your Impact:<ul><li>As a Senior Data Scientist specializing in Generative AI, you will:</li><li>Shape Next-Generation Solutions: Partner with cross-functional teams to design and implement AI-driven systems that transform user experiences and streamline business processes.</li><li>Enhance AI Through Data: Employ data-centric methodologies to improve model accuracy and responsiveness by curating high-quality datasets and optimizing real-time performance.</li><li>Finetune Industry-Specific Gen AI Models: Adapt and fine-tune large language models for domain-specific applications using advanced techniques like instruction tuning, domain adaptation, and reinforcement learning from human feedback (RLHF).</li><li>Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions.</li><li>Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation.</li><li>Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS&nbsp;and Azure to address real-world business problems with precision and efficiency.</li></ul> ﻿QualificationsYour Skills &amp; Experience:<ul><li>Bachelor s degree in computer science, data science, mathematics, or a related field.</li><li>At least two years experience as a machine learning engineer.</li><li>Advanced proficiency with Python, Java, and R code writing.</li><li>Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.</li><li>In-depth knowledge of mathematics, statistics, and algorithms.</li><li>Superb analytical and problem-solving abilities. Set Yourself Apart With:</li><li>Experience in Docker, Kubernetes, Kubeflow, MLflow, DVC, Cloud platforms</li><li>ML Model deployments and serving</li><li>Model Monitoring, Management and Governance</li><li>ML Feature Store and Artefact Store</li><li>Orchestration and ML Pipelines</li></ul>

Big Data Developer What You’ll Do:<ul><li>Leverage Apache Iceberg: Design and implement robust big data solutions using Apache Iceberg to manage large datasets efficiently.</li><li>Collaborate for Success: Partner with cross-functional teams to enhance data architecture and drive impactful business decisions.</li><li>Data Analysis &amp; Insights: Dive into complex data sets, extracting meaningful insights that inform strategy and operations.</li><li>Optimize Data Workflows: Ensure seamless integration and high performance across data platforms while maintaining data integrity.</li></ul> What We’re Looking For:<ul><li>Big Data Expertise: Solid experience with Big Data technologies, particularly Apache Iceberg.</li><li>Programming Skills: Proficiency in Java, Scala, or Python to develop and optimize data solutions.</li><li>Analytical Thinker: Strong analytical skills with the ability to derive insights from complex datasets.</li><li>Agile Mindset: Comfortable working in a fast-paced environment and managing multiple tasks effectively.</li></ul> Why Xoriant?<ul><li>Competitive Rewards: Enjoy a comprehensive salary and benefits package that values your expertise.</li><li>Growth Opportunities: We invest in your professional development—unlock your potential with us!</li><li>Innovative Culture: Experience a collaborative environment that celebrates creativity, teamwork, and innovation.</li></ul> <ul><li>Experience: 5-9 Years</li><li>Specialization: Apache Iceberg</li></ul> Send your resume to <a rel=\"noopener noreferrer\" href=\"mailto:pranav.dillikar@xoriant.com\" target=\"_blank\">pranav.dillikar@xoriant.com</a> with the subject line \"Big Data Developer Application.\"

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