Top Artificial Intelligence Jobs in Chennai

Lead a team responsible for building AI-driven systems, design ML models, ensure technical excellence, and foster a collaborative culture while driving complex projects in renewable energy.

The AI QA Test Engineer will validate AI-driven systems, ensure quality through testing of ML models, and collaborate with cross-functional teams. Responsibilities include automated test development, data validation, and adherence to ethical AI standards.

In this role, you'll enhance customer support through automation, implement tools, analyze data, and collaborate cross-functionally to scale operations and improve efficiency.

The AI OPS Engineer will deploy, monitor, and maintain AI/ML models using MLOps practices. Responsibilities include building CI/CD pipelines, monitoring model performance, and collaborating with developers.

The Lead Product Software Engineer oversees software projects, combining development and leadership to guide teams. Responsibilities include developing UI applications, prompt engineering for AI, optimizing performance, and ensuring code quality through reviews and agile practices.

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.

The AI Strategist will lead strategic enterprise accounts, shape AI strategies, engage with C-level executives, and collaborate cross-functionally to drive AI adoption.

The AI Developer will design, train, optimize, and deploy LLM models, focusing on backend and machine learning engineering in offline environments. Responsibilities include fine-tuning models, implementing data workflows, managing inference systems, and building backend services.

Develop and operationalize AI and ML products, focusing on LLM integration and monitoring, and collaborate with engineering teams for production integration.

Lead the development and architecture of AI-driven features for mobile and web platforms, ensuring scalability and efficient model integration.

The role involves designing scalable backend systems in Python, integrating AI/ML models, optimizing data pipelines, and collaborating with teams to deliver high-performance solutions.

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 Software Tester will work on manual and automation testing, utilizing various tools to ensure product quality and validate AI/ML workflows. Key responsibilities include testing methodologies, defect lifecycle management, and collaboration with development teams.

As an AI Website Specialist, you will create and optimize websites using AI, manage complex builds, and enhance client communication and SEO practices.

As an AI Engineer, you'll design and develop AI systems, collaborating with teams to ensure the deployment of intelligent solutions across various industries and use cases.

The AI Website Associate will enhance web performance and design using AI tools, optimizing websites for partners while ensuring quality and SEO standards.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

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

The Senior AI Data Scientist will develop and implement generative AI models, utilizing deep learning techniques, while working with machine learning frameworks and cloud services.

The Senior Product Manager will drive AI-native product development, create product roadmaps, and collaborate with cross-functional teams to deliver effective energy data solutions.

Lead GoDaddy's Finance AI and Automation strategy, overseeing architecture, compliance, and change management to drive financial transformation.

The AI Engineer will design and deploy machine learning models, optimize performance, support AI R&D, and ensure data quality for model training.

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.