Job Title: AI Engineer Company: Franklin Templeton Job Category: Machine Learning Roles & Responsibilities: About The Department * Lexington Partners’ Data and AI team designs and delivers data, analytics, and GENAI solutions that help drive business performance across the organization. Working closely with business and technology stakeholders, the team develops innovative tools, enhances data capabilities, and integrates AI into existing digital platforms. Team members gain exposure to cutting\-edge technologies, meaningful business challenges, and opportunities to influence the future of AI adoption within a global investment firm. How You Will Add Value?* Core Responsibilities * You will design and develop GENAI solutions. * You will build scalable and reliable AI applications. * You will create proof\-of\-concepts to validate new technologies. * You will evaluate model performance and business value. * You will integrate AI into existing workflows. * You will support business teams with practical solutions. * You will maintain and improve deployed applications. Strategic Responsibilities * You will research emerging AI technologies. * You will identify opportunities for innovation and automation. * You will recommend new approaches and capabilities. * You will contribute to AI product direction. * You will help shape long\-term technology strategy. Team \& Collaboration * You will partner with business and technology stakeholders. * You will analyze and prepare data for model development. * You will train and optimize AI models. * You will document solutions and technical processes. * You will present findings and recommendations. * You will communicate project progress regularly. * You will take ownership of end\-to\-end project delivery. Work Shift Timings \- 2:00 PM \- 11:00 PM IST Work Location: Greater Hyderabad Area Availability: Full time
Job Title: Senior AI ML Engineer Company: Eigenstate Innovations Pvt Ltd Job Category: Machine Learning Roles & Responsibilities: Eigenstate AI is building an Industrial Intelligence platform that helps manufacturers understand and improve productivity, process adherence and operational performance. We seek a hands\-on engineer who can lead technical execution, guide a small team and turn customer shop\-floor challenges into reliable, reusable AI products. Develop reusable AI/ML components and contribute to Eigenstate’s long\-term platform and IP. Lead technical task planning, code reviews, debugging and mentoring while writing production code. Role details Growth : Opportunity to grow into AI/ML Technical Lead and shape proprietary Industrial AI technology Work Location: In person Work Location: Karnataka, India Availability: Full time
Job Title: Manager Company: EXL Service Job Category: Machine Learning Roles & Responsibilities: Job Description: Professionals in this group are expected to create new algorithms from scratch. They work with large data sets and relational databases and have excellent problem\-solving skills and the ability to analyze issues, identify causes, and recommend solutions quickly. They focus on the development of Advanced Analytics models to optimize underlying business problems. They are expected to apply state\-of\-the\-art advanced analytics, quantitative tools, and modeling techniques to interpret, make inferences, and offer recommendations based on insights from the data. Possess knowledge of programming languages, with a focus on machine learning and advanced analytics (SQL, python, reporting tools) and US Healthcare knowledge is an added advantage Responsibilities: Be the domain expert on respective area . Perform manual selection of claims. Review audit findings. Generate new selection concepts/queries Work Location: Haryana, India Availability: Full time
Job Title: AI Engineer / Senior AI Engineer Company: SGP India Job Category: Machine Learning Roles & Responsibilities: \#\#\# Key Responsibilities \- Develop and deploy machine\-learning models using classification, regression, clustering, and feature engineering. \- Develop Generative AI and LLM\-based applications. \- Develop AI agents and multi\-step workflows using LangGraph. \- Develop scalable services using Python, FastAPI, and microservices. \- Support AI model deployment, monitoring, and performance optimization. Work Location: In person Work Location: Karnataka, India Availability: Full time
Job Title: Site Reliablity Engineer II Company: Trimble Inc. Job Category: Machine Learning Roles & Responsibilities: Launch Your AI/ML Career as an Machine Learning Engineer Are you passionate about the foundational elements of machine learning and eager to contribute to innovative AI solutions within a collaborative, supportive team environment? Trimble is seeking an enthusiastic early\-career professional to join our Construction Management Solutions (CMS) group within the AECO sector in Chennai. This role offers an exceptional entry point to build a career in AI/ML engineering, working directly alongside seasoned data scientists and engineers to solve real\-world industry challenges using cutting\-edge technologies. About Our Division: Construction Management Solutions (CMS) As an industry leader in construction software and ERP solutions, Trimble CMS empowers contractors worldwide. Our solutions connect essential business functions like accounting, project management, and field operations within a unified digital environment. Operating on Trimble Construction One (TC1\), our collaborative cloud solutions enhance accountability, efficiency, and profitability for organizations across the globe. What Makes This Role Great This role provides a structured environment for developing core competencies in machine learning, data engineering, and data science under the direct mentorship of senior practitioners. Based in our Chennai office, you will gain hands\-on exposure to real\-world industrial data, contribute to the foundational stages of the ML project lifecycle, and learn modern MLOps practices like containerization and automated monitoring. It is a premier platform for an ambitious technologist to translate academic theory into scalable, enterprise\-grade AI products. Key Exciting Responsibilities * Model Implementation \& Experimentation: Assist in the development, testing, and deployment of foundational machine learning algorithms and models under direct supervision, with opportunities to explore advanced deep learning architectures. * Data Engineering \& Preprocessing: Contribute to data collection pipelines, feature engineering, and data cleaning tasks to ensure high\-quality training sets tailored to industry use cases. * Code Quality \& System Testing: Perform routine debugging, unit testing, and comprehensive code documentation to ensure reliability, reproducibility, and high software standards. * Model Integration \& MLOps: Support the integration of trained ML models into existing enterprise applications, learning foundational MLOps workflows including containerization, deployment pipelines, and post\-deployment performance monitoring. * Cross\-Functional Collaboration: Partner with senior engineers and data scientists to translate business requirements into clear, manageable ML tasks while adopting industry best practices. Logistics * Location: Chennai, India * Department: Construction Management Solutions (CMS) * Role Level: P2 * Job Type: Full\-Time * You'll work on projects that truly matter: Our purpose\-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. * Collaborate with like\-minded people: Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. * Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self\-authored," empowering proactive "doers." * Enjoy true flexibility: We offer flexible work arrangements, which are a significant driver for employees joining and staying with us. Work Location: Chennai, Tamil Nadu, India Availability: Full time
Job Title: Director - Drug Discovery AI Company: Eli Lilly Job Category: Machine Learning Roles & Responsibilities: At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life\-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. At Lilly, everything we do starts with patients. We unite caring with discovery to make life better for people around the world. Headquartered in Indianapolis, Indiana, our global team of over 50,000 employees work with urgency and purpose to discover and deliver life\-changing medicines, strengthen how health is understood and managed, and support the communities we serve. We bring our best to this work because people depend on it. If you're driven by purpose and determined to make a meaningful difference for patients, we invite you to bring your skill and your commitment to Lilly. At Lilly, technology is not a support function. It is how a global medicine company operates, innovates, and delivers. Lilly in Bengaluru builds the capabilities that make this possible, cloud platforms, AI systems, and automation at enterprise scale, all in service of a purpose that makes this technology work genuinely distinctive, from advancing drug discovery to enabling connected clinical trials to keeping a global medicine company running at the standard patients deserve. Role Overview As a Director of Drug Discovery AI, you will set scientific direction and technical strategy for AI research programs that span the full drug discovery value chain. This includes target identification and validation, hit finding, lead optimization, ADMET and developability, and translational biomarker discovery across small molecules, biologics, and genetic medicines. You will lead a team of AI scientists, AI engineers, and computational chemists and biologists, partnering closely with experimental scientists in Lilly Research Laboratories to turn frontier AI research into scalable, production\-grade capabilities that accelerate the delivery of new medicines. AI is your core expertise: you are a world\-class machine learning scientist with deep fluency across chemistry, biology, and genomics, and you can see how advances in one modality or discovery stage can be applied to another. This role requires a track record of scientific leadership, strategic influence, and building large\-scale AI research programs in the life sciences. In return, you will have the scale to make your work count: Lilly’s proprietary chemical, biological, and experimental data; the most powerful AI supercomputer owned and operated by a pharmaceutical company; and strategic collaborators. Key Responsibilities Ensure rigorous evaluation of new methods against leading academic and industry benchmarks and against prospective experimental outcomes Build and lead people Build, mentor, and develop high\-performing teams of AI scientists, AI engineers, and computational chemists and biologists, and cultivate the next generation of research leaders. Represent Lilly in the external scientific community through publications, partnerships, and conference leadership. Work Location: Karnataka, India Availability: Full time
Job Title: Data Analyst Company: Myntra Job Category: Machine Learning Roles & Responsibilities: Myntra is India’s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e\-commerce, we’ve always believed in disrupting the ordinary. We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We’re bold in our thinking, agile in our execution, and collaborative in spirit. The Role Key Responsibilities * Data Analytics and Insights: Dive deep into customer interaction data (NPS, CSAT, app drop\-offs, and support tickets) to identify root causes of customer friction. Translate raw data into actionable insights that guide CX improvements. * Predictive Trend Analysis: Build models to forecast customer behavior, return rates, and seasonal ticket volumes. Anticipate CX challenges before they occur to help operations and product teams stay ahead of the curve. * Visual Intelligence: Design and maintain intuitive, high\-impact dashboards (via Tableau, PowerBI, or Looker) that track core CX metrics. Make complex data easily consumable for leadership and cross\-functional teams. * Market Intelligence: Monitor industry benchmarks and competitor CX strategies. Identify gaps and opportunities to ensure Myntra remains the gold standard for e\-commerce customer experience in India. * Stakeholder Management: Act as the primary data partner for CX leaders. Effectively communicate findings, influence strategic decisions, and align analytical outputs with operational realities. * Cross\-Functional Collaboration: Partner seamlessly with Product, Engineering, Supply Chain, and Customer Support teams to deploy data\-backed solutions and track the efficacy of new feature rollouts. Work Location: Karnataka, India Availability: Full time
Job Title: Machine Learning Analyst - HIH - Evernorth Company: The Cigna Group Job Category: Machine Learning Roles & Responsibilities: The AI CoE team is seeking AI Fullstack Software Engineers to work on the AI ecosystem. The AI Fullstack Engineer will be responsible for designing, implementing, and deploying scalable and efficient AI solutions with a focus on privacy, security, and fairness. Key components include React JS based user interfaces, a robust set of Application Programming Interfaces (APIs) enabling a wide range of platform integration capabilities, a flexible Machine Learning (ML) and document processing pipeline. This role will work directly with business partners and other IT team members to understand desired system requirements and to deliver effective solutions within the Agile methodology and participate in all phases of the development and system support life cycle. Primary responsibilities are to build an AI Platform(s) leveraging the LLM’s and other Gen AI Capabilities and provide design solution for portal integrations, enhancement, and automation requests. The ideal candidate is a technologist that brings a fresh perspective and passion to solve complex functional and technical challenges in a fast\-paced and team\-oriented environment. Job Responsibilities: * Experience with AI Development lifecycle * Strong Prompting skill for AI driven Development * Experience with Domain\-Driven Design with construction Bolts, not an afterthrought. * Build enterprise grade AI solutions with focus on privacy, security, fairness. * Experience with Test Driven Development. * Deep Understanding of Token Economics * Experience using AI Driven IDE by using skills with evaluations * Establish/Improve/Maintain Proactive monitoring and management of supported assets assuring performance, availability, security, and capacity * Familiarity with cloud\-based platforms and services, such as AWS, GCP, or Azure, preferably on AWS. Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization\-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. Work Location: Hyderābād, India Availability: Full time
Job Title: Machine Learning-AI and Data Science Engineer III Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Level: AI and Data Science Engineer III As an experienced AI and Data Science Engineer III at Deloitte Consulting, you will design, develop, and deploy enterprise\-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross\-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high\-quality and timely delivery of solutions. Work you’ll do: Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross\-functional teams. Design templates or scripts to automate routine development or operational tasks. The team: AI \& Data offers a full spectrum of solutions for designing, developing, and operating cutting\-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. * Design and modernize large\-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing * Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions * Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As\-a\-Service models to ensure continuous insights and enhancements. \#FY27ReferralCampaign \#2027\AI\&E\Dscreen \#AI\&DATAROLESAUGUST29 \#AID2026 Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state\-of\-the\-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Work Location: Chennai, Tamil Nadu, India Availability: Full time
Job Title: Staff Engineer - Data Engineering, Analytics & AI/ML Company: TJX Companies 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: Hyderābād, India Availability: Full time
