Top Machine Learning Jobs in India

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

The Principal Consultant will manage digital product consulting projects, create solutions for clients across various industries, and lead client workshops to gather requirements. Responsibilities include translating business use cases into technical designs, guiding architecture and review processes, and fostering collaboration within global teams.

Lead development and research of advanced AI/ML solutions, fine-tune LLMs, design agentic systems, prototype novel algorithms, optimize training pipelines, ensure ethical AI, publish research, mentor juniors, and integrate enterprise AI into production.

Design, build, and operate secure cloud-based AI/ML platforms and pipelines. Implement CI/CD (GitHub Actions/Jenkins), deploy ML models (SageMaker/Azure ML), manage platform security, automate operations, and collaborate with partners to integrate generative AI and LLM solutions into production.

The role focuses on developing AI strategies for business operations, implementing proof-of-concepts and leveraging AI technology to drive efficiencies across various departments.

The Senior Data Scientist will optimize demand forecasting models, apply machine learning techniques, and collaborate with teams to solve business problems.

The role involves analyzing supply chain data, collaborating with teams for process improvements, overseeing digital projects, and supporting ERP systems. Requires strong analytical skills and experience in supply chain processes.

As a CRO Expert, you will use data-driven strategies to optimize user experience and conversion rates while crafting experiments and deriving actionable insights.

Seeking a Senior Applied Scientist to advance AI systems for decision automation and knowledge gathering, focusing on large language models and causal reasoning.

The Staff ML Research Scientist will develop innovative ML models and algorithms for safe robotic operation, focusing on computer vision and deployment in real-world scenarios.

Develop and maintain web and mobile applications, build and optimize AI/ML models, prepare and process data, collaborate with product teams to deliver AI-driven features, participate in code reviews, testing, and stay current with AI/Data Science advances.

Drive the Search product roadmap at Bloomreach, focusing on AI, personalization, and data-driven decisions while ensuring customer engagement and market readiness.

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.

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.

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.

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.

Lead and grow an engineering team to build and improve user support experiences at Stripe, focusing on technical solutions for diverse user segments while collaborating with cross-functional teams.

The Sr Advanced Data Scientist manages complex data science projects, applies analytical skills to solve challenges, and mentors junior team members.

As an Advanced Data Scientist, you will lead analytics model development, mentor junior scientists, and align projects with business goals.

The Principal Technical Support Engineer will solve customer issues, improve APM software, provide training, escalate problems, and conduct pre-sales consultations, requiring strong problem-solving and communication skills.

As a Data Scientist, you will enhance data productivity, develop models, collaborate with business stakeholders, and provide insights to improve product usability and reseller performance.

The Staff Product Manager will lead product backlog for a Scrum team, collaborating closely with engineering and AI teams while driving customer outcomes and improvements through analytics and integration solutions.

The role involves productionalizing and maintaining investment and risk models, supporting research code infrastructure, and performing data analysis in a fast-paced environment.