Top Machine Learning Jobs in Chennai

The Software QA Engineer will lead qualification activities, enhance quality processes, design test cases for new technologies, and interact with various teams to resolve issues.

The role involves automating operations, developing use cases with RPA and Python, and supporting testing and deployment processes while exploring initiatives in data science and machine learning.

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.

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 Senior QA Engineer will develop and maintain automation frameworks using Java, Selenium, and REST Assured, focusing on AI integration and data validation for effective testing.

The Engineer-ECM will manage ECOs, use Agile for change orders, and support product updates while ensuring process efficiency and team training.

As a Sr. Engineer on the Data + ML Platform team, you will design and build scalable ML pipelines and ensure best practices in development and deployment, shaping critical business decisions in modern cybersecurity.

Lead the architecture for Iron Mountain InSight, ensuring technical excellence and mentoring the engineering team while delivering cost-effective solutions for customers.

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.

As a Software Engineer, design, develop, and deploy software solutions leveraging AI. Optimize performance and collaborate with cross-functional teams to enhance customer experiences and internal efficiency.

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

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

As a Senior Software Engineer II, you'll design APIs, improve performance, mentor engineers, and build AI solutions for better healthcare access.

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

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

As a Backend Software Engineer, develop and improve Bloomreach's multi-tenant search infrastructure, leveraging cloud technologies and machine learning for enhanced performance and scalability.

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.

The role involves designing and developing a cloud platform, building scalable services, mentoring engineers, and utilizing AI/ML frameworks.

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.

As a Data Infrastructure Engineer, you'll manage ML workflows, create dashboards, automate data visualization, and collaborate with ML engineers.

Lead technical evolution of a SaaS cloud platform, ensuring performance, security, and scalability while mentoring engineers and delivering solutions.

Lead and mentor a team of engineers, oversee development processes, drive ML initiatives, and collaborate globally on the Domain Search platform.