Top Machine Learning Jobs in India

The Generative AI Intern will work on AI technologies, focusing on Python, machine learning fundamentals, LLMs, prompt engineering, and related frameworks.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The Tech Project Manager will define and execute the vision for generative AI products, manage cross-functional teams, and oversee project lifecycles to enhance competitiveness and user experience.

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.

Lead the global HR systems strategy and operations, owning SAP SuccessFactors roadmap, integrations, AI-enabled HR automation, data governance, vendor management, multi-country rollouts, and leading HRIS analysts to drive adoption and efficiency.

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

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 managing valuation control, developing AI-driven solutions, and collaborating with various departments to automate workflows and improve valuation processes.

Manage end-to-end tech recruitment strategy, drive AI-enabled hiring initiatives, mentor recruiting teams, and improve processes for candidates in engineering roles.

The AI Consultant will work on AI/ML roadmaps, assess feasibility of solutions, analyze data, manage AI-driven projects, and provide insights for business operations.

Lead initiatives in monetization and loyalty at eBay, focusing on digital wallets, loyalty programs, and leveraging AI for enhanced customer engagement and revenue growth.

The role involves developing image processing algorithms, analyzing algorithms for defect detection, and collaborating with cross-functional teams. The candidate will also create mockups, translate market needs into product requirements, and validate high-quality ML/DL algorithms.

The Lead Analyst will develop and deploy AI models, build predictive models, implement machine learning in production, and assist product managers with model analysis.

The role involves providing advisory services in Third Party Risk Management (TPRM) leveraging AI and Machine Learning skills with a strong foundation in Python.

The Lead Analyst will develop and deploy machine learning models, implement AI algorithms, and train AI engineers, requiring extensive technical knowledge and experience.

As a Program Manager, you will oversee the ML dataset lifecycle, ensuring quality and timely deliverables while managing cross-functional collaborations and resources.

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

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.

The role involves conducting strategic analyses, designing experiments, implementing experimentation tools, and collaborating with product and engineering teams to improve customer experience at EarnIn.

The Marketing Effectiveness Innovation Incubator Consultant manages stakeholder relationships and delivers analytic insights and recommendations to clients, overseeing project lifecycle from sign-off to delivery in a fast-paced environment.

Manage engineering teams, focusing on recruitment, training, project management, and technical decision support while promoting a strong engineering culture.

Lead end-to-end development and architecture of industrial-grade AI/ML software products, collaborate cross-functionally, integrate ML capabilities, provide technical leadership, mentor staff, and support product strategy, governance, and external representation.

Lead the applied machine learning team, drive ML model development, establish best practices, and ensure collaboration with product and data teams while meeting compliance requirements.

Develop and apply NLP and ML methodologies for enterprise customer experience: build and evaluate statistical and deep learning models, implement information extraction and retrieval solutions, work with NLP frameworks, collaborate across teams, and advise on project roadmaps.

Lead research for personalized recommendations at eBay, develop advanced AI models, work with large datasets, and publish findings.