Job Title: AI or ML Engineer Company: Optum India Job Category: Machine Learning Roles & Responsibilities: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a talented and passionate AI/ML Engineer to join our innovative technology team. The ideal candidate will be at the heart of designing and building the intelligent systems that power our products and services. This role involves working on the complete lifecycle of machine learning projects, from data collection and preprocessing to model development, deployment, and maintenance. You will be a key player in transforming complex data into actionable insights and creating AI\-driven solutions that solve real\-world problems. Primary Responsibilities * Design and Develop ML Models: Research, design, and develop machine learning and deep learning models to address business challenges. This includes everything from selecting the right algorithms to building predictive models from the ground up * Data Pipeline and Preprocessing: Build and maintain robust data pipelines. You will be responsible for gathering data from various sources, cleaning it, and transforming it into a usable format for model training * Model Training and Evaluation: Train, test, and validate machine learning models to ensure they are accurate, reliable, and meet business requirements. This involves performing statistical analysis and running experiments to optimize model performance * Deployment and MLOps: Deploy trained models into production environments and maintain their lifecycle. You will implement MLOps best practices for monitoring, retraining, and updating models to ensure they remain effective over time * Collaboration and Innovation: Work closely with data scientists, software engineers, and product managers to integrate AI/ML models into our applications and systems * Stay Current: Keep up\-to\-date with the latest advancements in the field of AI, machine learning, and deep learning, and be prepared to apply new research to our products * Build Generative AI \& LLM Workflows: Design, develop, and optimize LLM\-powered applications and agentic workflows, including retrieval\-augmented generation (RAG), prompt engineering, tool/function calling, and multi\-step orchestration, to deliver production\-grade generative AI features * Ensure LLM Reliability \& Evaluation: Establish evaluation frameworks, guardrails, and structured, type\-safe output validation to ensure generative AI systems are accurate, safe, cost\-efficient, and reliable in production * Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Staff Engineer - Data Engineering, Analytics & AI/ML Company: The TJX Companies, Inc. Job Category: Machine Learning Roles & Responsibilities: TJX Companies At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You’ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you’re working in our four global Home Offices, Distribution Centers or Retail Stores—TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you’ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family—a Fortune 100 company and the world’s leading off\-price retailer. Job Description: The Global Merchandising Solutions Team is responsible for managing various merchandising, analytics, and distribution\-related solutions within TJX IT. The organization delivers capabilities that enrich our internal customer experience and provide core business value. We are seeking an experienced and hands\-on Staff Engineer, Data Engineering(primary), Analytics and AI/ML, who will play a key role in designing, developing, modernizing, and optimizing enterprise data platforms, data integration solutions, ETL frameworks, and analytics capabilities. The Staff Engineer will partner effectively with product teams, architects, business partners, and cross\-functional engineering teams to deliver scalable, reliable, and secure data solutions while fostering an inclusive culture and growth mindset. The Global Merchandising Solutions Team thrives on strong relationships with our business partners and works diligently to address their needs while supporting TJX growth and operational stability. On this tightly knit and fast\-paced solution delivery team, you will be challenged to think creatively, solve complex engineering problems, and drive technical excellence. * Design, develop, and optimize scalable data integration solutions that support enterprise analytics, reporting, and AI/ML use cases. * Provide extensive hands\-on technical expertise for data engineering initiatives and guide teams in delivering reliable, maintainable, and high\-performing solutions. * Shape, evaluate, and redesign existing data architecture, data models, and integration frameworks to improve scalability, performance, resilience, and maintainability. * Design, develop, and maintain enterprise ETL/ELT pipelines using Talend as the primary integration platform, with experience in Informatica and IBM DataStage. * Design and implement modern data solutions using Snowflake and Databricks, applying platform best practices for performance, security, governance, scalability, and cost efficiency. * Develop data warehouse solutions and dimensional, relational, and analytical data models that meet evolving business and analytics requirements. * Write and optimize advanced SQL queries, SQL scripts, stored procedures, ETL jobs, batch processes, and large\-scale data workloads. * Create architecture and solution design documents, data flow diagrams, interface specifications, and detailed technical specifications. * Develop engineering solutions using Python, SQL, Unix shell scripting, stored procedures, and related database programming techniques. * Implement and improve scheduling and orchestration using tools such as Control\-M, AutoSys, DAC, TAC, TMC, or comparable platforms. * Apply DevOps practices and CI/CD automation to data pipelines, database changes, ETL code, testing, and deployments. * Collaborate with Product Owners, Architects, Analytics teams, AI/ML teams, business partners, and other Data Engineering teams to deliver end\-to\-end solutions. * Enable analytics, Data Science, Machine Learning, and GenAI initiatives by providing high\-quality, governed, scalable, and trusted data foundations. * Lead technical design reviews, code reviews, troubleshooting, root\-cause analysis, performance tuning, and production\-readiness activities. * Mentor junior ETL developers and data engineers, promote engineering standards, and foster knowledge sharing and continuous improvement. * Communicate complex technical concepts clearly and effectively to technical and non\-technical stakeholders. * Demonstrate a solution\-oriented mindset, strong ownership, adaptability, and the ability to quickly learn new technologies and business domains. * Bachelor's Degree in Computer Science, Information Technology, Engineering, Analytics, or a related field and 9\+ years of relevant experience in Data Engineering, ETL development, Data Warehousing, Data Modelling or related disciplines. * Extensive hands\-on experience designing, developing, and supporting enterprise data integration and ETL/ELT solutions. * Expert\-level SQL skills, including complex query development, SQL script optimization, execution\-plan analysis, performance tuning, stored procedures, and database programming. * Strong expertise in Data Warehousing, dimensional modeling, relational data modeling, and enterprise data architecture. * Deep hands\-on experience with Talend, including ETL pipeline design, development, optimization, scheduling, monitoring, troubleshooting, and production support. * Working experience with one or more additional ETL platforms, such as Informatica or IBM DataStage will be good to have. * Hands\-on experience designing or developing data solutions using Snowflake and Databricks. * Hands on experience on any BI tool like Power BI , Tableau , Cognos etc * Programming and scripting experience using Python, SQL, Unix shell scripting, and stored procedures. * Experience with workload scheduling and orchestration tools such as Control\-M, AutoSys, DAC, TAC, TMC, or equivalent technologies. * Knowledge of DevOps practices, source control, automated testing, and CI/CD implementation for data pipelines and database deployments. * Experience producing architecture documents, solution designs, data flows, technical specifications, and operational support documentation. * Strong analytical, troubleshooting, and problem\-solving capabilities across complex and data\-intensive environments. * Proven ability to lead technical delivery, influence engineering decisions, and mentor ETL developers and data engineers. * Strong written and verbal communication skills with the ability to work effectively across engineering, architecture, product, and business teams. * Self\-motivated, collaborative, and solution oriented, with a growth mindset and commitment to continuous learning. * Experience with Microsoft Azure data technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Microsoft Fabric, or related services. * Experience supporting enterprise Business Intelligence, Analytics, Data Science, Machine Learning, AI, or GenAI solutions. * Knowledge of data governance, metadata management, data lineage, data quality, master data management, and access\-control practices. * Understanding of modern lakehouse architectures, medallion design patterns, distributed data processing, and cloud data platform modernization. * Experience implementing monitoring, observability, alerting, and DataOps practices for enterprise data pipelines and platforms. * Experience working with data systems across cloud, hybrid, and multiple operating\-system environments. * Experience in retail, merchandising, supply chain, or another large\-scale enterprise analytics environment is a strong plus. * Strong business acumen and the ability to connect technical solutions with measurable business outcomes. * Advanced degree in Computer Science, Data Engineering, Analytics, AI, Distributed Computing, or a related field is a plus. Work Location: Telangana, India Availability: Full time

Job Title: DATA ENGINEER L1 Company: Wipro Job Category: Machine Learning Roles & Responsibilities: Job description: Wipro Technologies is seeking a talented and motivated AI Engineer L1 to join our dynamic Technology Services team. This role is pivotal in supporting our ambitious digital transformation initiatives by leveraging cutting\-edge artificial intelligence and data solutions on the Google Cloud Platform. As an AI Engineer L1, you will play a key role in designing, developing, and deploying scalable AI and machine learning models, with a strong emphasis on data processing and analytics utilizing GCP BigQuery. This is an excellent opportunity for professionals with 3 to 5 years of hands\-on experience who are passionate about evolving their career in the applied AI domain within a global, purpose\-driven organisation. Role Responsibilities: * Develop, test, and implement AI and machine learning models to address complex business challenges across various industry sectors. * Leverage Google Cloud Platform services, primarily BigQuery, for data extraction, manipulation, analysis, and visualization to feed AI models efficiently. * Collaborate closely with cross\-functional teams including data scientists, software engineers, and business analysts to translate business requirements into technical solutions. * Optimize existing AI workflows and datasets to improve performance, scalability, and operational effectiveness. * Create comprehensive documentation detailing model development, deployment processes, and maintenance guidelines to ensure knowledge sharing and reproducibility. * Stay updated on the latest trends and advancements in AI, machine learning, and cloud technologies, applying best practices and innovative approaches. * Assist in troubleshooting and resolving AI solution issues post\-deployment to ensure seamless operations and high reliability. Why Join Us? * Opportunity to work on industry\-leading AI projects and cutting\-edge cloud technologies. * Collaborative environment fostering professional growth and continuous learning. * Access to global resources and a diverse network of innovation pioneers. * Competitive benefits and a supportive workplace culture prioritizing wellbeing and inclusion. Work Location: Hyderabad, Telangana, India Availability: Full time

Job Title: Senior Machine Learning Engineer(Growth & ML), Hyderabad Company: Warner Bros. Discovery Job Category: Machine Learning Roles & Responsibilities: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non\-fiction and international entertainment and sports businesses. , and we are an early, enthusiastic adopter of agentic AI development workflows. About the Role As a Senior MLE, you will own the design and delivery of production ML systems that directly impact audience targeting, advertising revenue, subscriber engagement, and retention across WBD’s global portfolio. You will lead technical execution on key workstreams — including probabilistic identity resolution, lookalike modeling, single\-title affinity, and forecasting — while mentoring MLE 2s and collaborating closely with Staff MLEs and product stakeholders. This is a high\-ownership role for engineers with roughly 1-2 years of experience who can independently drive a project from problem framing through production deployment and monitoring. Roles \& Responsibilities: * Lead end\-to\-end development of production ML systems: data sourcing, feature engineering, model training, evaluation, deployment, and monitoring. * Own key ML products such as probabilistic identity resolution (matching unauthenticated device IDs and 1P cookies to households/persons with calibrated confidence), single\-title affinity (e.g., STAT two\-tower retrieval), and audience/propensity models. * Design scalable feature pipelines on Databricks (PySpark, Delta, Workflows/DLT, Unity Catalog) and the WBD feature store, with documented feature contracts, backfill paths, and freshness SLAs. * Architect batch and near\-real\-time inference pipelines integrated with Snowflake and activation systems (Mosaic, FreeWheel, GAM). * Develop and optimize models across the ML spectrum: gradient boosting (XGBoost/LightGBM), embedding/two\-tower retrieval, neural ranking, probability calibration (e.g., isotonic regression), and probabilistic/graph\-based matching. * Design rigorous offline and online experiments; define evaluation frameworks (precision/recall, AUC\-ROC, NDCG, decile lift, calibration curves) appropriate to each use case. * Apply causal\-inference techniques (propensity scoring, uplift/incrementality modeling) to measure true lift of audience targeting on engagement and retention KPIs. * Contribute to lookalike modeling (LAL 2\.0\+) using 1,000\+ first\- and third\-party features, including privacy\-safe builds inside Data Clean Rooms (Snowflake DCR). * Champion MLOps best practices: model versioning, champion/challenger promotion, automated retraining triggers, drift detection, and production monitoring with MLflow on Databricks. * Build and maintain robust, reproducible, auditable ML pipelines on Databricks (and AWS SageMaker where appropriate, e.g., the identity\-resolution track); enforce leakage prevention and training/serving consistency. * Contribute to the team’s feature\-store strategy — feature contracts, backfills, and freshness SLAs — and implement data\-quality checks, model\-health dashboards, and alerting thresholds. * Embed FinOps cost discipline (compute caps, auto\-termination, job tagging) into pipeline design. We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law. Work Location: Greater Hyderabad Area Availability: Full time

Job Title: Consultant - Data Analytics Company: PayU Job Category: Machine Learning Roles & Responsibilities: The Risk Operations team at PayU is a data\-driven function responsible for supporting the identification, assessment, and mitigation of financial and operational risks across the payments ecosystem. The team uses data, analytics, automation, and technology\-enabled solutions to strengthen risk controls, improve operational efficiency, and support seamless experiences for merchants and customers. Working closely with risk, product, technology, operations, and business teams, the Risk Operations team converts complex data into actionable insights that support informed decision\-making and effective risk management. This is an opportunity to contribute to a fast\-paced fintech environment where analytics plays an important role in managing risk at scale. About the Role: PayU is looking for a Consultant – Data Analytics to join the Risk Operations team in Gurgaon for a 12\-month assignment. The role will focus on analysing risk and operational data, developing dashboards and reports, automating recurring processes, and providing insights that support business and risk decisions. The successful candidate will work with large and complex datasets, translate business requirements into analytical solutions, and collaborate with stakeholders to improve reporting, monitoring, and decision\-making. The role also requires an interest in emerging AI tools and their practical applications in data analytics, reporting, and process automation. Responsibilities: Use Python for data analysis, data preparation, automation, reporting, and development of analytical solutions. Design, build, and maintain interactive dashboards and reporting systems to monitor key risk and operational metrics. Automate recurring reports, data preparation activities, monitoring processes, and other manual workflows to improve efficiency and accuracy. Explore and apply relevant AI tools to support data analysis, insight generation, dashboard development, documentation, and process automation, while ensuring appropriate review of outputs. Maintain documentation for queries, dashboards, reporting logic, processes, and analytical methodologies. Stay informed about developments in risk analytics, data visualisation, automation, and AI applications relevant to the fintech and payments industry. Ability to collaborate effectively with cross\-functional stakeholders and manage multiple priorities. Knowledge of risk management, fraud detection, transaction monitoring, or operational risk concepts would be preferred. Access to 5000\+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity) As a global and multi\-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D\&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive, and safe environment, for all our people, communities, and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility, and unbiased attention to every PayUneer so they can succeed, irrespective of gender, color, or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities, or the LGBTQ communities. Work Location: Haryana, India Availability: Full time

Job Title: Principal Software Engineer- Eng Company: UKG Job Category: Machine Learning Roles & Responsibilities: Job description Company and benefits Job ID PRINC020819 Employment Type Regular Work Style hybrid Location Noida,UP,India Travel Up to 25% Role Principal Software Engineer\- Eng Why UKG: We are looking for innovative and dynamic Principal Software Engineers to join our dynamic team. This role provides an opportunity to lead projects and contribute to high\-impact software solutions that are used by enterprises and users worldwide. As a Principal Engineer, you will be responsible for the design, development, testing, deployment, operation, and maintenance of complex software systems, as well as mentoring junior colleagues. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. * Front End UI: (UI/UX design principles, responsive design, JavaScript frameworks) * Platform: (CI/CD Pipelines, IAC proficiency, Containerization/Orchestration, Cloud Platforms) * Back End: (API Development, Database Management, Security Practices, Message Queuing) * AI/ML: (Machine Learning Frameworks, Data Processing, Algorithm Development, Big Data Technologies, Domain Knowledge) Responsibilities: * Software Development: Write clean, maintainable, and efficient code for various software applications and systems. * Technical Collaborator: Contribute to the design, development, and deployment of complex software applications and systems, ensuring they meet high standards of quality and performance. * Project Management: Manage execution and delivery of features and projects, negotiating project priorities and deadlines, ensuring successful and timely completion, with quality. * Architectural Design: Participate in design reviews with peers and stakeholders and in the architectural design of new features and systems, ensuring scalability, reliability, and maintainability. * Code Review: Diligent about reviewing code developed by other engineers, provide feedback and maintain a high bar of technical excellence to ensure code is adhering to industry standard best practices like coding guidelines, elegant, efficient and maintainable code, with observability built from ground up, unit tests etc. * Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. * Service Health and Quality: Maintain the health and quality of services and incidents, proactively identifying and resolving issues. Utilize service health indicators and telemetry for action providing recommendations to optimize performance. Conduct thorough root cause analysis and drive the implementation of measures to prevent future recurrences. * Platform Model: Understanding of working in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, continuously deploy continuously deploy and operate the software in production. * Documentation: Properly document new features, enhancements or fixes to the product, and contributing to training materials. UKG is the Workforce Operating Platform with unified HR, payroll, and workforce management, built to solve the unique challenges of frontline work. Powered by people\-first AI and decades of labor data, UKG turns workforce intelligence into real\-time decisions around staffing, pay, compliance, and productivity, enabling every worker to confidently take action as work happens. That’s why more than 80,000 organizations worldwide trust UKG to run their workforce — not just manage it. Learn more at ukg.com. All job descriptions are written to accurately reflect the open job and include general work responsibilities. They do not present a comprehensive, detailed inventory of all duties, responsibilities, and qualifications required for the job. Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change. Work Location: Uttar Pradesh, India Availability: Full time

Job Title: Associate, Machine Learning and AI Applications Company: Quantmatrix AI Solutions Job Category: Machine Learning Roles & Responsibilities: You will have the opportunity to work on cutting\-edge AI technologies, develop intelligent agents, build predictive models and contribute to Trinity, our proprietary AI and analytics platform. Role: Associate, AI and ML Engineer Responsibilities * Understand business problems and design AI/ML solutions * Understand business objectives, data and analytical requirements. * Identify opportunities to apply Machine Learning, Generative AI and Agentic AI. * Evaluate alternative algorithms, architectures and solution approaches. * Collaborate with Data Scientists, Product Engineers and Business Analysts to define solutions. * Develop AI and Machine Learning solutions * Build, train, evaluate and optimize ML models for regression, classification, forecasting and other analytical applications. * Develop solutions using Large Language Models (LLMs), including prompting, structured outputs, Retrieval\-Augmented Generation (RAG) and tool calling. * Build AI agents capable of reasoning, planning, using tools and executing multistep workflows. * Experiment with frameworks such as LangChain, LangGraph and other AI orchestration technologies. * Evaluate models and agents for accuracy, reliability, efficiency and performance. * Build scalable AI capabilities and products * Convert AI/ML prototypes into robust, reusable and production\-ready capabilities. * Develop APIs, tools and integrations to embed AI capabilities into Trinity. * Work with structured and unstructured data, vector databases and external data sources. * Implement testing, monitoring, evaluation and continuous improvement of AI/ML solutions. * Collaborate with Product and Engineering teams to ensure scalability, security and maintainability. * Drive innovation and business impact * Explore emerging AI technologies, models and frameworks. * Rapidly prototype new ideas and assess their practical applications. * Work with internal teams and clients to validate solutions and demonstrate business value. * Contribute to building reusable AI/ML intellectual property and capabilities. Work Location: In person Work Location: Mumbai, India Availability: Full time

Job Title: Junior AI Engineer – Applied AI (Non-Clinical) Company: Teleradiology Solutions (TRS) Job Category: Machine Learning Roles & Responsibilities: Teleradiology Solutions (TRS), founded in 2002 by two Yale\-trained physicians and headquartered in Ardmore, PA, provides 24x7 diagnostic radiology reporting to over 150 hospitals across 21 countries, through a network of radiologists (US, Indian certified) and technology\-driven workflows. Daignostix, the AI arm of TRS based in Whitefield, Bengaluru, builds clinical AI for medical imaging and healthcare workflows. TRS also maintains an active academic and research focus, including AI in radiology (www.radguru.net). Role Summary As a Junior AI Engineer – Applied AI (Non\-Clinical), you will build and ship operational ML algorithms and AI\-enabled mobile features end to end under the guidance of senior engineers, using AI\-assisted development tools such as Claude Code to move quickly without compromising quality. This role does not work on clinical diagnostic models. Roles and Responsibilities * Operational algorithms. Build, train and evaluate models for case routing and worklist prioritisation, TAT prediction, radiologist scheduling and RVU/volume forecasting, and anomaly detection on operational data. * Mobile AI features. Build AI\-enabled features in mobile apps (React Native, Flutter or native iOS/Android) and integrate them with backend model services. * On\-device inference. Convert, optimize, and deploy machine learning models such as LightGBM, XGBoost, and scikit\-learn models for production use, balancing accuracy, inference latency, memory usage, and model size. * Data and evaluation. Build data pipelines from operational systems, define success metrics with operations stakeholders, and measure model impact against baselines in production. * AI\-assisted development. Use Claude Code and similar agentic coding tools in day\-to\-day development, while owning the review, testing and correctness of everything you ship. * Production engineering. Package models as tested services (Python, Docker, FastAPI) with unit and regression tests, logging and monitoring. Senior engineers lead architecture and deployment. * Stakeholder collaboration. Work with operations, product and engineering teams to turn workflow problems into measurable AI solutions. Python \| scikit\-learn \| XGBoost / LightGBM \| Time\-Series Forecasting \| Optimisation / OR\-Tools \| React Native / Flutter \| Swift / Kotlin \| PyTorch \| Core ML / TensorFlow Lite / ExecuTorch \| Claude Code / AI\-Assisted Development \| FastAPI / REST APIs \| Docker \| Git \| pytest \| CI/CD \| MLflow / Weights \& Biases Work Location: Karnataka, India Availability: Full time

Job Title: MDP - Software Engineer III -Python AI/ML Company: FactSet Job Category: Machine Learning Roles & Responsibilities: At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision\-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. What You'll Do * Design, develop, and deploy sophisticated machine learning and GenAI models to solve complex data problems at scale. * Implement, optimize, and scale ML solutions using Databricks, Spark, and cloud\-native data ecosystems (AWS/Azure/GCP). * Collaborate with other engineers, product managers, and UX teams to build robust, high\-performance Python\-based analytics pipelines. * Develop and finetune LLMs and generative AI applications for structured and unstructured financial data. * Architect data processing workflows leveraging Delta Lake, Feature Stores, and MLOps best practices. * Translate cutting\-edge research (papers, new ML techniques) into production solutions. * Mentor junior data scientists and engineers on ML, best practices and GenAI. * Work on one\-of\-a\-kind data challenges, including entity disambiguation, real\-time risk analytics, NLP, graph data modeling, and anomaly detection. * Keep up\-to\-date with the latest in ML tooling, GenAI, Databricks, and cloud data infrastructure. * The opportunity to join an S\&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start\-up. * Support for your total well\-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company\-wide wellness days. * Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. * A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. * Career progression planning with dedicated time each month for learning and development. * Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Company Overview FactSet (NYSE:FDS \| NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy\-side and sell\-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next\-generation workflow solutions, and client\-centric specialized support. As a member of the S\&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. Work Location: Hyderabad, Telangana, India Availability: Full time

Job Title: Manager Company: LatentView Analytics Job Category: Machine Learning Roles & Responsibilities: Designation : Manager Job Role : Experience: 1 year of core analytics experience, with at least 3\+ years in a leadership/client\-facing manager role (Fintech or Banking experience highly preferred). Responsibilities : Key Responsibilities 1\. Problem Solving \& Technical Leadership Apply AI and Machine Learning natively into daily analytics workflows, automation routines, and client deliverables. Deliver hands\-on analytical work while reviewing team deliverables to ensure technical accuracy, business context, and high presentation quality. Lead analytics strategy across at least one or more key Fintech functions: Risk Analytics: Fraud Detection, Credit Scoring Models, Underwriting Analytics, Portfolio Risk Monitoring. 3\. Client Management \& Account Growth Serve as the primary offshore liaison, building deep trust and maintaining fluent, impactful communication with senior executive stakeholders. Proactively identify whitespace opportunities, draft compelling solution pitches, and partner with onshore leadership to expand LatentView's foot\-print within the account. 4\. Team Mentorship \& Delivery Management Lead, mentor, and upskill a high\-performing team of data scientists and analytics consultants. Work Location: Chennai, India Availability: Full time