Top Machine Learning Jobs in Chennai

Join the Applied Machine Learning Team to develop and optimize deep learning models for computer vision applications, decreasing latency and improving accuracy.

The Associate Project Engineer will develop predictive models and AI solutions, work with large datasets, and integrate front-end and back-end development.

Manage the ML lifecycle, collaborate with teams to deploy ML models, write production code, and stay updated on ML advancements.

As an ML Community Ops Engineer, you will integrate open-source AI models into Clarifai's platform, enhance community engagement, and collaborate with marketing to promote new models.

The AI/ML Engineer will develop software products focusing on AI and ML technologies, optimizing models, and collaborating in an agile environment.

As an AI/ML Lead, you will manage a team to build AI-powered features, drive PoCs to production, and collaborate with stakeholders.

The role involves developing AI and ML solutions, fine-tuning models, preprocessing big data for ML applications, and ensuring observability and explainability of ML systems.

The Senior Machine Learning Engineer will manage AI/ML lifecycle, build models for ad serving, improve performance, and mentor juniors.

As a Senior AI/ML Engineer, you will collaborate with teams to develop AI solutions, optimize models, and mentor junior engineers while keeping up-to-date with AI research.

The Software Engineer will design and implement Python applications for ML and NLP. Responsibilities include developing data analysis methodologies, transforming unstructured data, participating in technical design discussions, enhancing NLP models, documenting design specifications, and ensuring compliance with coding standards.

Work with product managers to enhance ML workflows and tools. Drive improvements in DVC's entry point and optimize ML practices.

Lead the analysis, design, and implementation of application systems utilizing AI and ML technologies while ensuring integration and enhancement of software applications.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.

The AI ML Engineering Manager will lead a team in developing AI/ML solutions, overseeing design, development, and deployment of models, while managing and mentoring engineers.

Design and implement ML products, improve model performance, and collaborate with product and data teams to enhance solutions.

Design and develop machine learning software solutions for semiconductor metrology, define requirements, optimize algorithms, and implement APIs.

Develop and evolve solutions using AI and ML, focusing on Generative AI. Responsibilities include model fine-tuning, big data preprocessing, and ensuring ML observability.