Top Machine Learning Jobs in India

Lead the development of machine learning products by driving technical direction, designing data pipelines, and collaborating with teams to innovate solutions in consumer finance.

Design, develop, and implement machine learning models and algorithms to solve complex problems, monitor performance, and work with cross-functional teams.

Lead the design, development, and implementation of machine learning models and algorithms, optimizing for performance while mentoring junior engineers.

The role involves designing and developing machine learning systems, implementing algorithms, running tests, optimizing infrastructure, and maintaining CI/CD pipelines.

The Machine Learning Operations Engineer will deploy, monitor, and optimize machine learning models in production, automate workflows, and collaborate with cross-functional teams.

The Staff Machine Learning Engineer will develop machine learning models, manage data pipelines, collaborate with teams, and contribute to innovative AI solutions in mobile advertising.

As a Senior Customer Success Engineer, you will support customers with Kubernetes and AI/ML solutions, troubleshooting technical issues and guiding them to optimize their workloads on DigitalOcean's platform while collaborating with engineering and product teams.

Develop full stack applications using Python and Next.js/React, integrate AI/ML models, and work on cloud automation projects with Azure.

As a Senior Machine Learning Engineer, you'll manage ML lifecycle, build inference pipelines, and enhance AI models for observability applications.

Design, develop, and implement advanced machine learning models. Collaborate with cross-functional teams to enhance services, ensuring data quality and model deployment for business insights.

The Senior Manager of Engineering AI/ML will lead a team, drive AI/ML solutions, and implement MLOps practices, while coaching engineers. Requires extensive engineering experience.

The role involves developing AI-powered solutions for e-commerce, optimizing data pipelines, and deploying ML systems at scale while using technologies like React, TypeScript, and AWS.

The Lead Software Engineer will design, build, and scale high-performance infrastructure, oversee ML Ops and system reliability, and mentor junior engineers while developing microservices in Golang and Python.

Develop and optimize machine learning models, manage project priorities, and improve real-world solutions using advanced ML techniques.

As a ML Engineer Intern, you will build functionalities for products and integrate third-party systems, gaining hands-on experience in ML applications.

The AI/ML Technical Capability Owner will design AI/ML frameworks, manage toolsets, facilitate workshops, and ensure compliance across data security and governance.

The AI/ML Lead Engineer develops generative AI tools, conducts research, creates proof-of-concept work, collaborates with teams, and integrates AI solutions.

As an SDE-3 in AI/ML, you will lead design and implementation of AI systems, prototyping solutions, and mentor junior engineers, ensuring performance and scalability.

Seeking an MLOps Engineer to build and maintain AI/ML systems for healthcare claims management, focusing on operationalizing ML models and optimizing revenue recovery.

The Lead AI/ML Data Scientist will lead projects, mentor junior staff, design solutions, innovate in AI/ML techniques, and collaborate with engineers to improve audience measurement insights.

Lead the development of scalable backend infrastructure for LLM inferencing, API design, and agent communication in a multi-agent system.

As a Machine Learning Engineer, you will architect and deploy AI models, collaborate with product teams, and optimize AI capabilities for production.

Lead design, development, and deployment of scalable AI/ML models for content understanding and generation, mentoring junior data scientists.

Lead the design and deployment of advanced machine learning models, mentor junior staff, and drive innovation in AI technology at Ema.

Develop and optimize scalable machine learning models for ad content understanding, automate systems, and mentor team members.