Top Machine Learning Jobs in India

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

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.

Design and implement ML systems focusing on integrity signals, improve performance, evaluate new models, and address adversarial dynamics.

The role involves developing Chakra, an AI interviewer, focusing on conversation management, evaluation methodologies, and ensuring the quality of interviews at scale.

This role involves leading real world evidence projects by analyzing healthcare data, developing software solutions, and producing client deliverables, while mentoring team members.

The Director will lead a team of Data & AI specialists, overseeing technical support and ensuring successful customer operations on the Databricks platform.

Lead the design, development, and deployment of ML and AI solutions to enhance healthcare operations and improve member experiences. Oversee the entire machine learning lifecycle, ensuring model reliability and performance while implementing MLOps practices.

Develop machine learning algorithms to analyze brain data, design experiments, build data visualization tools, and assist in AI model development for education.

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

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.