Top Artificial Intelligence Jobs in Chennai

Develop applications that utilize AI tools and cloud services, focusing on production-ready quality, collaboration, and mentoring. Enhance AI models and systems for optimal performance.

As an AI/ML Engineer, you will develop applications using AI tools and cloud services, focusing on production-ready pipelines and generative AI model integration, mainly working with deep learning and image processing.

The AI / ML Engineer develops production-ready AI applications using cloud services and large language models, focusing on collaboration and innovation.

Develops AI applications and systems, utilizing AI tools and Cloud AI services. Collaborates with teams to enhance AI functionalities and mentor junior members.

Develop applications using AI tools and cloud services, focusing on creating production-ready systems that utilize generative AI and deep learning techniques.

Design, develop, and deploy Python-based automation and AI-driven solutions to optimize enterprise workflows. Integrate ML/NLP/OCR models, build data and API pipelines, ensure scalability/security, monitor KPIs, and provide technical guidance to deliver reliable, governed automation.

As a Senior Scrum Master, you'll lead Agile teams in IT projects, focusing on Generative AI integration, coaching, and SDLC. You'll enhance efficiency and decision-making through mentoring and structured prompts.

As a Solution Engineer, you will design and implement AI solutions, partner with stakeholders to identify use cases, and integrate LLMs with enterprise systems.

Design, build, and operate production Generative AI applications: LLM orchestration, RAG/vector-search, document processing/OCR, multi-step agents and copilots, REST APIs/microservices, and cloud deployment/monitoring on Azure and other clouds.

The Junior AI Developer will design, develop and deploy AI solutions using Python, manage multi-agent workflows, analyze data, and optimize AI models.

As a Full-Stack Software Engineer, you'll develop both backend systems and frontend interfaces for AI agents, collaborating with team members to solve technical problems. Roles include implementing robust backend services, building user-facing features, and contributing to technical design discussions, all while maintaining high-quality code standards.

Develop and integrate generative AI solutions, collaborating with teams to implement models, ensure quality, and stay updated with AI advancements.

Design, develop, and deploy Python-based generative AI/LLM applications. Implement RAG pipelines, vector DB integrations, prompt engineering, MLOps, model evaluation, and production deployment. Collaborate on systems analysis, project management, and enterprise integration to deliver scalable AI automation solutions.

Develop and deploy NLP and GenAI applications/products, conduct ML experiments, and create APIs and UI for user interaction.

The Senior AI Engineer will design and implement AI systems, develop AI pipelines, create conversational interfaces, and lead integration of AI technologies into products, while collaborating with data scientists and optimizing performance metrics.

The Enterprise Cloud Software Engineer designs, develops, and maintains automation solutions for cloud operations across AWS and Azure, focusing on Infrastructure-as-Code and CI/CD implementations.

The Enterprise Cloud Software Engineer will design and automate cloud solutions, utilizing coding and AI tools to enhance scalable operations within AWS and Azure environments.

The role involves troubleshooting complex customer issues in EPC and 5G Core environments, participating in product deployments, and enhancing operational efficiency using AI. Responsibilities include deep technical analysis, collaboration with engineering teams, and leading improvement initiatives.

As a Senior AI Engineer, you'll build and productionize AI systems using LLMs, develop intelligent agents, and optimize user interactions through automation.

The Sr AI Solutions Engineer will update stakeholders on solutions, productize Centific AI offerings, implement NVIDIA models, and develop AI-enabled applications.

The AI Backend Engineer will automate offensive security techniques using Python and LLMs, collaborating with Red Team professionals to create intelligent systems.

The AI Associate role entails developing AI systems using ML and Generative AI, creating APIs, managing data pipelines, and collaborating with cross-functional teams.

Develop embedded AI/ML applications for Microchip platforms, create demos, validate designs, and provide technical support to customers. Collaborate with teams on cutting-edge AI technologies.

The Senior Applications Engineer will develop Edge AI applications for embedded systems, validate designs, and collaborate with teams for customer solutions.

The role involves maintaining and enhancing the AI Studio platform, collaborating with teams on priorities, implementing AI capabilities, and ensuring operational excellence and scalability.