Top Machine Learning Jobs in India

As a Staff Data Scientist, lead complex data science projects, define analytical frameworks, and mentor team members to improve healthcare outcomes using advanced models.

As an Industry 4.0 Analyst, you will work with Data Scientists and Engineers to implement AI-based solutions for cost reduction and operational impact across multiple business functions.

The Director will lead AI strategy and product management for Mastercard, focusing on developing AI products and systems, overseeing portfolio management, and driving integration and evaluation of AI technologies.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Lead software engineer focused on AI Ops and observability, responsible for designing and implementing AI-powered monitoring systems, conducting root cause analysis, and mentoring teams.

The role involves designing and developing AI/ML solutions, building predictive models, ensuring model governance, and collaborating with stakeholders to create impactful analytics solutions.

The Manager of Product Management will develop product vision and strategy, collaborate with cross-functional teams on AI/ML platform products, and maintain agile processes to enhance business and customer outcomes.

The Senior AI Engineer will align AI solutions with business goals, support PoCs execution, collaborate on AI applications, and evaluate technologies in AI advancement.

Lead the development of generative AI systems, overseeing multi-agent AI architectures, machine learning pipelines, and implementing responsible AI practices. Drive innovation in AI applications using various frameworks and databases while managing cross-functional teams.

The Senior Engineering Manager will develop user-facing product features, design scalable frameworks, and collaborate with cross-functional teams to enhance Moveworks' Core Platform, emphasizing performance and reliability.

The Associate Managing Consultant, Performance Analytics will manage project deliverables, develop analytics strategies, create predictive models, and mentor junior consultants in a fast-paced environment.

The AI Engineer designs AI solutions for data management and governance, employing machine learning to enhance data quality and compliance.

The role involves leading Network Design and Optimization projects, consulting with customers, developing solutions, and managing network performance and support services primarily focused on radio network optimization and new technologies.

Design and deliver production-grade GenAI systems and agents for Telecom OSS/BSS: build RAG pipelines, train and optimize LLM/SLM models, deploy scalable Python services/APIs, and integrate cloud-native ML solutions to drive automation, intelligence, and decisioning at scale.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Lead strategy and transformation initiatives in healthcare, conduct assessments, architect AI-driven processes, and mentor junior consultants.

The Senior Technical Program Manager will drive execution across AI, data, and engineering initiatives, ensuring alignment, delivery rigor, and risk management.

The Engineering Manager will lead AI & ML initiatives focused on data collection, overseeing technical projects and developing a high-performing team. Responsibilities include providing technical direction, mentoring staff, ensuring system reliability, and maintaining data integrity and security. The role requires expertise in NLP and data processing with an emphasis on collaborative leadership and continuous innovation.

The role involves using Six Sigma techniques for process improvement, collaborating with stakeholders, and developing automation solutions to enhance client experiences in health optimization.

Lead and manage a team of Machine Learning Engineers and Data Scientists to develop ML solutions that enhance user engagement and support business objectives in digital entertainment.

Lead the sales technology strategy and manage product lifecycle for CRM and sales automation platforms. Collaborate with various stakeholders to implement solutions, drive digital adoption, and enable data-driven decision making.

Lead strategy and execution for Data Discovery & Classification across cloud and on-prem data. Define product vision, conduct customer discovery with security stakeholders, write PRDs, run betas, and collaborate with engineering, data science, and GTM teams to deliver classification and labeling solutions.

As a Senior Product Owner, you will enhance smart manufacturing solutions using AI and automation while managing resources and projects across global teams.

The Senior Software Engineer will lead initiatives in software engineering, design and implement solutions, and resolve technical challenges, while supervising less experienced staff.

The Staff Software Engineer will design and build AI platform infrastructure, mentor engineers, and drive the adoption of AI development practices across engineering teams.