Top Machine Learning Jobs in Chennai

As Engineering Manager for the AI Platform at Coinbase, you'll lead a team in architecting and developing a robust platform for LLM use cases while mentoring engineers and optimizing ML infrastructure.

The Senior Software Engineer will innovate in Generative AI and develop high-performance ML solutions, leading full software development lifecycles and collaborating with cross-functional teams.

Lead the design of distributed systems and ML infrastructure, drive innovation in AI and Big Data, mentor engineers, and ensure high-performance solutions.

As a Senior Software Engineer, you'll design and maintain big data systems and AI solutions, optimize microservices, and mentor junior engineers.

The Senior Engineering Manager will lead innovation in AI-driven networking solutions, manage engineering teams, and oversee the full software development lifecycle, with a focus on Big Data and machine learning technologies.

Design and maintain scalable systems and ML services, optimize microservices, integrate Big Data and Generative AI solutions, and mentor junior engineers.

The role involves leading software development for AI-driven network management, innovating ML solutions and collaborating on real-time ML platforms.

The Software Test Automation Engineer will engage in qualification activities for software products, including developing automated test cases and collaborating with various teams to ensure product quality.

The Software Test Automation Engineer will qualify products and features, design tests, automate test cases, and troubleshoot software at customer sites.

The Software QA Engineer will manage qualification activities, develop test cases, automate tests, and support deployment and troubleshooting efforts.

The Solution Architect leads technical pre-sales activities for process optimization solutions, driving adoption of AI/ML technologies while providing domain expertise across varied industrial processes.

As a Staff Software Engineer, you'll develop AI/ML-integrated applications, lead technical architecture, mentor teams, and ensure system quality.

The Senior Software Engineer is responsible for designing and developing scalable software solutions, mentoring junior engineers, and ensuring quality delivery in an agile environment.

Lead the design of AI-driven solutions for media operations, enhancing efficiency in campaign processes through automation and intelligent architectures.

ValGenesis is hiring software engineers at all levels, focusing on collaboration and innovation. Roles require 2 to 12 years of experience across various engineering disciplines.

The Software Engineer - Machine Learning will develop and improve machine learning systems for fleet safety, optimize algorithms for performance, and collaborate with cross-functional teams.

The Director of Data Engineering leads the development of data infrastructure, analytics models, and ensures compliance with data standards while leading a team to optimize healthcare operations.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

Develop and deploy NLP models, optimize performance, and collaborate with teams to integrate AI solutions into business applications.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.

The Staff DevOps Engineer will work on deploying and maintaining AI/ML systems, supporting CI/CD pipelines, and collaborating with ML engineers in operations, focusing on MLOps best practices.

The Lead DevOps Engineer will support AI/ML systems deployment, CI/CD development, monitoring model performance, and collaborating with ML teams to optimize operations.