Top Machine Learning Jobs in Chennai

The AI/ML Engineer designs, develops, and deploys machine learning models, optimizing performance while collaborating across teams for AI-driven solutions.

As an AI/ML Engineer, develop and deploy analytical solutions for optimizing transformer manufacturing processes. Responsibilities include software development, machine learning, data pipelines, and collaboration across teams.

The Senior Machine Learning Engineer will work on the Predictions workspace, developing predictive models for supply chain challenges and ensuring seamless user experiences through orchestrated workflows.

As a Machine Learning Engineer II, collaborate with ML scientists to deploy models, build infrastructure, automate workflows, and define scaling vision for ML applications.

As a Machine Learning Engineer, you'll build platform capabilities for conversational AI, combining research and experimentation to create context-aware AI agents.

As an AI/ML Engineer, you will develop machine learning models, collaborate with teams, monitor performance, and improve processes for life sciences applications.

The Senior Machine Learning Engineer will design and implement advanced ML algorithms for search and recommendations, collaborating with data teams and staying updated on ML advancements.

The ML Product Owner will shape the supply chain platform by developing forecasting capabilities, collaborating with teams to enhance decision-making using machine learning.

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.

As a Machine Learning Engineer, you will develop AI solutions, own AI features, integrate ML into CI/CD, mentor peers, and work on infrastructure challenges.

Seeking an AI/ML Engineer with 4+ years of experience to design, develop, and implement AI models and solutions, collaborating across teams to translate enterprise needs into practical applications.

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.

Poshmark seeks a Senior Staff Engineer in Machine Learning II to drive innovation and impact while fostering a thriving, diverse workplace.

Seeking a Python Software Engineer with machine learning and computer vision expertise to design, develop, test, and deploy software solutions for image processing challenges.

The AI/ML Architect will develop, deploy, and maintain AI and machine learning models while utilizing cloud services and big data technologies for scalable applications.

As a Staff Machine Learning Engineer, you will lead the design and deployment of machine learning systems, mentor engineers, and enhance model evaluation processes within a fintech setting.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

This role involves designing and implementing machine learning solutions, focusing on NLP and machine vision while leveraging cloud infrastructure and MLOps practices.

Lead machine learning initiatives by designing and implementing AI solutions in NLP, machine vision, and deploying models using cloud infrastructure. Collaborate with teams to translate business needs into technical designs, ensure adherence to best practices, and conduct POCs for solution validation.

The Staff Engineer in Machine Learning will design, develop and implement AI solutions focusing on NLP, machine vision and deep learning, while collaborating with clients and developers to meet business requirements.

The Staff Machine Learning Engineer will design, deploy, and maintain scalable ML solutions, collaborate with teams, and enhance productivity through tooling.

Lead the development of Agentic AI applications, focusing on autonomous decision-making and deployment of generative AI models while collaborating across teams to enhance AI capabilities and innovations.

As a Senior ML Engineer, you will operationalize ML models, design scalable MLOps infrastructure, build feature stores, automate workflows, and ensure model monitoring, collaborating with data scientists and engineers.

The Associate Principal Engineer in Machine Learning will design AI/ML solutions, ensure architectural quality, and lead problem-solving efforts while collaborating with stakeholders.