Top Machine Learning Jobs in India

The Sr. Analytics Manager will guide the analytics team, support strategic projects, and deliver insights through data storytelling and advanced analytics.

The Senior Data Scientist will lead modeling projects, build risk models, analyze high-dimensional datasets, and extract insights to enhance safety in commercial insurance.

Design and maintain data structures, manage relational databases, integrate applications into a unified platform, and implement AI solutions.

As a Presales Consultant, you will assist in presenting Shipsy’s logistics solutions, engage with clients, and support sales efforts in the automation of warehousing and transportation processes.

The Product Specialist Intern will provide Level 1 support for users, troubleshoot technical issues, document interactions, and escalate complex problems, while developing skills in cybersecurity and AI.

The role involves developing competitive intelligence, responding to RFPs, collaborating with engineering, ensuring regulatory compliance, and enabling partners in the cybersecurity domain.

Lead the development of AI-powered applications, creating scalable APIs, managing ML lifecycle, and optimizing performance through collaboration and innovation.

The Principal Core Services Engineer will develop AI-enabled cloud solutions, optimize core services, automate operations, and drive platform resilience in a multi-cloud environment.

The Director of Machine Learning will develop ML strategies, lead cross-functional collaboration, oversee model development, mentor teams, and ensure alignment with company standards while driving business growth through data-driven insights.

Design and build scalable ML platforms and infrastructure for payment optimizations, collaborating with teams and mentoring new members.

The AI/ML Engineer will develop AI-powered applications for BPM, embedding AI tools into operations, creating efficiencies through automation, and collaborating with teams to drive innovation.

As a Senior Machine Learning Engineer, you'll design, develop, and deploy advanced AI models, mentor junior members, and collaborate across teams to enhance AI capabilities in the construction industry.

Design, develop, and deploy AI/ML models and solutions, collaborating with teams to drive automation and data-driven decision-making.

The role involves designing AI/ML applications and scalable pipelines, leading teams, and improving coding practices at Visa. The engineer is responsible for developing advanced solutions and mentoring junior members in projects involving LLM-based applications.

The AI/ML Engineer will research and develop generative AI tools, conduct proof-of-concept work, collaborate with teams, and integrate AI models into workflows.

As a Machine Learning Intern at Ema, you will work on building and deploying machine learning models, analyzing datasets, and collaborating with senior engineers in a fast-paced startup environment.

Design and scale infrastructure for generative video models, implement data workflows, fine-tune models, and close collaboration for development and deployment of AI-driven media solutions.

Lead the design and development of scalable AI systems integrating reasoning with semantic search. Drive architectural strategy and build metrics for AI-driven ecommerce solutions.

Lead the design, development, and delivery of advanced machine learning models and systems, particularly in NLP and multi-agent systems. Manage a team of engineers and scientists while collaborating cross-functionally to align ML efforts with business goals.

As an ML Engineer for AI Safety, you'll design and implement safety tooling for ML models, collaborate across teams, and ensure reliability through testing and monitoring.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

The Senior AI/ML Engineer will lead AI and ML projects, collaborating with teams to create solutions, mentor junior engineers, and ensure model performance and scalability in production.

As a Senior Machine Learning Engineer, you'll develop ML models, deploy pipelines, and fine-tune generative AI applications, contributing to innovative solutions.

Assist in building scalable data workflows, support AI/ML projects, and contribute to mentor-led development and research on GCP features.

The Application Development Engineer will design and implement machine learning systems, develop applications, process data, and collaborate on data-driven solutions.