Top Machine Learning Jobs in India

Partner with brand and pipeline Value Teams to deliver advanced analytics (segmentation, adherence, HCP networks, patient flows), produce actionable insights, automate reporting, manage analytics projects, mentor colleagues on statistical methods, and ensure compliance while working in an Agile environment to support commercial and medical affairs objectives.

Lead the global Omnichannel Analytics chapter to deliver advanced analytics and actionable insights. Set strategy, manage cross-functional delivery and agile ways of working, build team capabilities, oversee resource allocation, and ensure high-quality, compliant analytics outputs to drive commercial outcomes.

Partner-level analytics role within Brand/Pipeline Value Teams delivering advanced analytics (segmentation, HCP network, adherence, patient flows), actionable insights, standardized reporting, automation, and stakeholder recommendations. Collaborates cross-functionally, manages projects, mentors peers, and maintains proficiency with data systems (Redshift, Databricks, SQL, Python) to support pharmaceutical brand and pipeline strategies.

Deliver advanced brand and pipeline analytics (segmentation, adherence, HCP network, patient flows), generate actionable insights, automate reporting, manage projects, and collaborate with cross-functional global teams within an Agile Value Team.

Lead brand and pipeline analytics within a Value Team to deliver advanced analyses (segmentation, adherence, HCP network, patient flows), provide actionable insights, standardize reporting, manage analytics projects and vendors, drive continuous improvement and capability building, and ensure compliance while working in an agile, cross-functional global environment.

Partner with cross-functional value teams to deliver omnichannel analytics for oncology: design and execute advanced analytics (campaign measurement, ROI, optimization, NLP/ML), consult on campaign measurement, automate reporting, manage projects and vendors, and provide actionable insights to inform brand and investment decisions.

Lead omnichannel analytics for oncology brands: design and execute advanced analytics (campaign measurement, ROI, optimization, NLP/ML), partner with stakeholders and agencies, standardize reporting, manage projects and vendors, and deliver actionable insights to inform brand and pipeline decisions.

Partner with cross-functional Value Teams to deliver omnichannel analytics: campaign measurement, ROI, tactic optimization, and model-driven recommendations. Lead analytics projects, ensure data integrity and tagging, work with media agencies, automate reporting, mentor teammates, and drive analytic capability and continuous improvement within an agile framework.

Drive brand and pipeline analytics to deliver actionable insights. Execute advanced analytics (segmentation, adherence, HCP network analysis, patient flows), automate reporting, manage projects, and collaborate cross-functionally within an agile Value Team to support commercial and pipeline objectives.

As a Sr. Engineering Manager, you will lead a team of full stack engineers in developing innovative robotics solutions, focusing on team management, technical decision-making, and product development operations. You will also influence product roadmaps and resolve technology roadblocks while ensuring adherence to development standards.

The Supply Chain Analyst ensures production continuity by providing insights into supply chain risks, validating supplier data, and developing mitigation strategies while managing data workstreams and collaborating across functions.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The role involves leading AI and ML strategies, integrating advanced capabilities into products, and optimizing data science models, emphasizing innovation and reliability.

Manage and develop a team of product designers, set goals, optimise processes, advocate for design resources, and contribute to design strategy.

The Staff AI Platform Engineer will design scalable AI systems, improve reliability, mentor engineers, and collaborate on technical roadmaps, ensuring robust platforms and engineering excellence.

Design innovative and user-centric UI/UX experiences using AI tools, focusing on predictive prototyping, personalized interfaces, and ethical AI. Collaborate with product teams to enhance design processes, while advocating for responsible AI use.

Lead the product design innovation, aligning user experience with business goals, mentoring the team, optimizing workflows, and leveraging data for design decisions.

The Senior Forward Deployed Engineer will design, develop, and deploy AI solutions using the Workato platform, requiring integration experience and collaboration across teams.

Design and productionize ML models for search relevance and personalization. Collaborate on ML services with backend teams under performance constraints.

Analyze data to identify trends and insights, and develop predictive models using machine learning for forecasting and classification.

Own the product roadmap for an AI-powered e-commerce advertising platform. Work directly with customers, sales, and engineering to prioritize features, drive execution, manage trade-offs, and deliver data-driven ML and automation solutions for retail media and marketplace integrations.

Lead global product marketing initiatives for InMobi's Performance DSP, focusing on go-to-market strategies, product positioning, and market differentiation.

The Product Specialist Intern will support users, troubleshoot technical issues, document interactions, and learn about cybersecurity and AI prompt techniques.

The Data Scientist will develop scalable AI/ML solutions to solve complex business problems, build analytical products, and collaborate across teams to drive data-driven decisions.

Design and develop AI capabilities for Observe.AI's products, working with ML and NLP technologies. Collaborate cross-functionally and mentor juniors.