Top Artificial Intelligence Jobs in Chennai

The AI/ML Engineer will focus on advanced parallel computing research and software architectures for AI, HPC, and Cloud solutions to improve KLA's products.

Lead deployment of administrative processes and automation applications, ensuring continuous improvement, managing group project support, and enhancing collaborative processes.

The Senior Snowflake/AI Automation Engineer will design and optimize data pipelines on Snowflake, develop automation solutions, and integrate ERP systems to support revenue processes. Key responsibilities include collaborating with stakeholders and ensuring data compliance and accuracy.

The role involves developing and implementing Machine Learning models, managing data pipelines, and supporting Data Science teams with best practices in ML operations and methodologies.

Lead the planning and execution of test strategies, develop automated test suites for UI and API, and mentor junior team members.

Lead the design and development of advanced Generative AI solutions, managing a team while implementing AI technologies to enhance business outcomes and user experiences.

As a Gen AI Lead Developer, you will fine-tune and train models using frameworks like TensorFlow, PyTorch, or Keras, integrate AI functionalities into applications, and optimize model performance.

The role involves developing and optimizing AI models using deep learning frameworks, integrating AI into applications, and collaborating with teams using version control tools.

Develop AI-powered applications, design voice AI solutions, connect AI systems to data, and improve deployed AI systems while collaborating with stakeholders.

The role involves developing AI-powered applications, translating business needs into technical solutions, and maintaining deployed systems.

The Data & AI Operations Specialist leads technical operations for AI infrastructure, manages data pipelines, and oversees MLOps across multi-cloud environments, ensuring compliance and performance optimization.

The role seeks an AI Lead to drive Generative AI and Computer Vision projects, focusing on precise visual transformations and model training while mentoring engineering teams in best practices.

The AI Lead will design, develop, and implement AI solutions to enhance the SDLC stages, mentor teams, and ensure responsible AI practices.

The AI/ML Engineer II will design, develop, and deploy scalable AI/ML solutions, optimize model performance, and integrate AI into products. The role requires collaboration with various teams and knowledge in deploying solutions to cloud environments.

As Marketing AI and Automations Lead, you will manage automation architecture, integrate platforms, and develop AI-driven workflows to optimize marketing processes and strategies.

The role involves collaborating with Data Science teams to implement and manage ML models, designing GenAI solutions, and automating ML operations, while establishing best practices in ML lifecycle management.

The AI/ML Engineer II is responsible for designing, developing, and deploying AI/ML solutions. They work closely with product management and engineering teams to translate business problems into scalable AI systems, focusing on model optimization, cloud deployment, and cross-functional collaboration.

The Senior Angular Developer will create scalable AI-powered frontend applications, collaborate across teams, optimize performance, and lead innovations in digital transformation.

The AI Architect will lead technical execution of AI strategies, design autonomous agent systems, and guide clients in deploying Generative AI solutions.

The Senior Privacy & AI Analyst will operationalize privacy and AI requirements, conducting assessments, maintaining compliance, and collaborating across teams to mitigate privacy risks.

Design, train, optimize, and deploy production-ready computer vision models for image and video analytics. Prepare datasets, integrate models with platforms, optimize for GPU and inference speed, and collaborate with cross-functional teams while maintaining code quality and documentation.

Design, develop, fine-tune, and deploy large-scale generative AI solutions (LLMs, RAG, AI agents). Build end-to-end AI pipelines, integrate via APIs/microservices, optimize model performance and cost on cloud, and ensure security, governance, and responsible AI practices.

The role involves creating original math problems, auditing existing content for accuracy, operating AI tools for content generation, and collaborating with the academic team to deliver pedagogically sound math resources.

The AI Engineer will design and develop AI solutions, focusing on proof of concepts using GenAI platforms, manage projects, and ensure Agile delivery.

The Head of Product will lead the AIVM platform development, managing product strategy, execution, and cross-functional collaboration while focusing on AI and blockchain technologies.