Top Machine Learning Jobs in Chennai

As a Software Engineer III, you will design and implement software solutions, ensuring quality and stability, while analyzing data and contributing to team culture.

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 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.

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

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 Automation QA Engineer will enhance automation frameworks using Java, Selenium, and REST Assured, apply AI techniques, and collaborate across teams to improve product quality.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

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

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.

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

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.

Lead the technical evolution of a SaaS platform, driving design, development, and mentoring engineers while ensuring scalable and secure solutions.

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

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

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 Senior SRE will design, build, and maintain services for data analytics and ML, ensuring reliability, scalability, and operational efficiency.

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.

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

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