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.

As a Microsoft Copilot Specialist, you'll provide technical support, optimize AI systems, customize user experiences, and train users on Microsoft Copilot functionalities.

The Staff Engineer leads Generative AI development by translating client requirements into technical designs, defining architecture, and ensuring compliance with best practices.

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.

Collaborate with teams to develop and maintain scalable full-stack applications, focusing on backend services using Node.js and cloud technologies.

As a Full-stack Engineer, you will collaborate with teams, develop and maintain applications using Node.js and React, and implement AI/ML techniques.

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.

The Curriculum Developer will create high-quality education content, collaborate with SMEs, and ensure effective learning experiences in AI courses.

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 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.

Lead a full stack engineering team to develop and implement machine learning solutions, enhance services, and conduct root cause analysis.

The Test Engineer for AI/ML will develop and execute test strategies focusing on validating AI/ML models' functionality, performance, and reliability, within the software development life cycle.

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.

Join a dynamic team to develop scalable assurance systems leveraging microservice architecture with Agile methodology, focusing on software development and continual improvement.

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.

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

Develop and maintain front-end applications, design scalable APIs, model data with relational databases, integrate Gen AI features, and contribute to system design in an agile team setting.

The Staff Engineer will lead the design and deployment of personalization models for streaming services, mentor a team, and ensure scalable ML solutions.