Top Machine Learning Jobs in Chennai

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

The Sr AI/ML Engineer will research, develop, and deploy AI/ML models for improving yield and the test and calibration process in hardware manufacturing.

The role involves developing generative AI models, optimizing machine learning pipelines, mentoring junior engineers, and collaborating with cross-functional teams to enhance AI solutions.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

Design and implement AI/ML solutions for workforce management, focusing on forecasting, scheduling, and LLM integration, while collaborating cross-functionally.

The Data Scientist will analyze complex datasets, develop predictive models, and derive insights to support business objectives using advanced statistical methods.

Build and operate production ML/LLM systems: design MLOps platform capabilities, standardized pipelines, model registry and artifact lineage; deploy using containers/Kubernetes and CI/CD; implement observability, SLOs, incident response, model/data monitoring, security controls, and enable teams with documentation and best practices.

The role involves designing, building, and scaling ML/RL systems that enhance customer experience while ensuring reliability and efficiency in production. Responsibilities include model optimization, deployment, and monitoring for performance improvements.

Responsible for the end-to-end design, development, and deployment of Machine Learning models, collaborating with teams, and managing deployment lifecycles.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

The Senior Engineer will develop and validate Edge AI/ML solutions, optimize models for embedded hardware, and deliver high-quality demonstrations for customers.

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

The role involves designing and implementing AI/ML models for edge computing environments, collaborating across teams, and improving software solutions while staying current with technology advancements.

The job involves building tools for machine learning, collaborating on productionizing models, and maintaining existing platforms with newer tech solutions.

The role involves designing and deploying machine learning models, ensuring model performance, and optimizing ML infrastructure on GCP, collaborating closely with data engineers and scientists.

Design, develop, and implement ML models for search and recommendation systems. Collaborate with data engineers and scientists to integrate, enhance and scale ML solutions for personalization in various sectors.

Design, develop, and deploy production ML models; build feature pipelines; run experiments and A/B tests; monitor and maintain models; collaborate with engineers, product, and executives; mentor junior engineers and document models and processes.

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.

As a Senior AI Engineer, you will design and implement scalable AI systems, mentor junior engineers, and ensure impactful, ethical AI solutions. Responsibilities include collaborating with stakeholders and fine-tuning generative AI models.

Design, build, and productionize scalable AI/ML pipelines and models (including LLMs and Generative AI). Deploy and optimize models across cloud and edge, implement MLOps (CI/CD, versioning, monitoring), and collaborate with data scientists and engineering teams to deliver reliable, low-latency AI solutions.

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

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.

The Technical Lead is involved in business transformation and product development, focusing on digital strategy and engineering across various industries.

The Senior Engineer II-Software AI/ML will design and implement AI models, optimize applications for edge computing, collaborate with teams, and maintain software solutions while adhering to best practices.