Top Artificial Intelligence Jobs in Chennai

The role involves leading AI/GenAI solution architecture, pre-sales engagements, and mentoring teams. Responsibilities include designing solutions, engaging with clients, and ensuring compliance.

The Principal Software Engineer will lead the development and implementation of AI-driven data analysis capabilities, focusing on NLP and generative AI while mentoring teams and ensuring scalable solutions.

The AI Content Associate will generate and refine AI-driven content, ensuring quality and adherence to brand standards while collaborating with teams to optimize workflows.

The AI Automation Associate will deploy AI solutions, create automation workflows, provide client support, and document processes to help businesses integrate AI effectively.

The role involves developing QA strategies for AI applications, testing models for fairness and performance, and collaborating on automation frameworks.

Develop state-of-the-art algorithms for autonomous driving, focusing on AI and deep learning. Support intellectual property activities and improve algorithm development processes.

The AI Engineer will research and develop algorithms for autonomous driving, support intellectual property, and improve automotive sensor competencies.

The Sr Staff Machine Learning Engineer will lead machine learning initiatives, develop models, maintain ML solutions, and mentor junior staff.

As an AI/ML Engineer, develop and deploy analytical solutions for optimizing transformer manufacturing processes. Responsibilities include software development, machine learning, data pipelines, and collaboration across teams.

As an Agentic AI Engineer, you design, build, and deploy agent-driven AI systems, integrating them into business processes and ensuring their scalability and reliability.

The role involves designing advanced solutions using LLMs, conducting research in generative AI, maintaining code libraries, and collaborating with teams.

Seeking Artificial Intelligence Consultants with skills in algorithms, deep learning, and neural networks, with 2-3 years of experience.

The Supplier Risk Specialist manages supplier risks by ensuring compliance, improving operational practices, and collaborating with stakeholders on risk assessments and mitigation strategies.

As a Staff AI Engineer, you'll build and productionize advanced AI systems, focusing on large language models and intelligent agents to enhance productivity for millions of users at Apollo.io.

The role involves designing core AI agent architecture, developing MCP Server tools, implementing Keycloak authentication, and deploying microservices in AWS EKS.

Assist in developing AI-driven solutions, creating analytic dashboards, and collaborating with IT teams to improve business processes.

Lead development of agentic AI systems, mentor engineers, and drive projects utilizing LLMs and orchestration frameworks. Manage AI model lifecycle and collaborate with stakeholders.

Lead a team to develop AI safety tools and platforms, ensuring responsible innovation and collaboration with customers. Mentor staff and guide projects in AI safety methodologies.

The Senior Agentic AI Architect designs and implements intelligent, autonomous AI systems, leading architecture, mentoring teams, and aligning AI solutions with business goals.

Lead the design and evolution of scalable AI systems, guide technical direction, and mentor engineers. Design architectures for AI infrastructures, agentic AI workflows, and ensure system scalability and security.

The Integrations Engineer will connect engineering teams with clients, ensuring successful integration of the Agentic AI Platform. Responsibilities involve designing tailored solutions, providing technical support, and improving products based on customer feedback.

Design, train, and deploy AI models, integrating them into solutions while collaborating with cross-functional teams and mentoring junior staff.

The role involves collaborating on AI and HPC innovation, developing product roadmaps through R&D, and contributing to KLA's IP portfolio through patents.

The role involves designing and implementing generative AI solutions, utilizing advanced technologies like LLMs, collaborating with teams, and maintaining high code quality standards.

The Lead Gen AI Data Scientist will design and implement AI solutions, work with cross-functional teams, and stay abreast of advancements in generative AI and LLMs, while supporting development and integration of models into applications.