Top Machine Learning Jobs in Chennai

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.

Drive strategic vision and develop cutting-edge machine learning models. Collaborate with teams to enhance services, build scalable pipelines, and mentor junior staff.

Design, develop, and scale ML systems processing telemetry data. Lead cross-functional teams, mentor engineers, and innovate in AI-driven solutions.

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.

Lead the design and implementation of advanced machine learning models and algorithms, collaborating with teams to enhance services and ensure accurate model deployment.

As an AI ML Data Engineer, you will develop RAG pipelines, fine-tune LLM applications, and collaborate on machine learning models and frameworks.

Develop and optimize pipelines for LLMs and machine learning models, implement evaluation frameworks, and collaborate on scalable AI systems.

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 AWS Solutions Architect- AI/ML will design and implement cloud solutions, focusing on modernization, data engineering, and AI/ML integration to support client goals.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

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

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.

Identify complex problems and develop machine learning algorithms and prototypes. Improve accuracy of models, mentor junior researchers, and contribute solutions.

Seeking a Senior Machine Learning Engineer to design and develop AI models for real estate operations while collaborating across teams to enhance customer experience and product innovation.

This role focuses on developing AI solutions, leading projects, mentoring teams, and improving algorithms within the machine learning framework.

The AI/NLP Engineer will develop and fine-tune NLP models, deploy them at scale, and collaborate with teams to integrate AI solutions into business applications.

The Lead Software Engineer, Machine Learning will design, develop, and deploy scalable ML algorithms, improve existing models, and collaborate cross-functionally to create AI products.

Design, develop, and implement machine learning models and algorithms to solve complex problems, monitor performance, and work with cross-functional teams.

The Technical Writer will develop and maintain technical documentation, collaborate with teams, and enhance user experience through clear content on AI/ML products.

Design and develop machine learning infrastructure and models to enhance user experience. Collaborate with teams on AI integration and data lifecycle management.

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

As a Senior Machine Learning Engineer at MediaRadar, you will design, implement, and optimize ML solutions for data products, focusing on retrieval and relevance, model evaluation, and operational excellence.

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

Lead AI/ML projects, design scalable architectures, translate business needs into technical solutions, and ensure best practices in implementation.