Top Artificial Intelligence Jobs in Chennai

The role involves driving national revenue growth in enterprise sales, managing complex engagements, and building relationships with senior executives in the manufacturing sector.

The Technical Project Manager will manage AI projects from conception to execution, handle stakeholder communications, optimize resources, and improve development processes using Agile methodologies.

Manage AI projects in Banking and Financial Services, focusing on agentic AI initiatives, data management, and digital transformation while employing Agile methodologies.

The Lead AI Engineer designs and delivers AI/ML and Generative AI solutions for banking platforms, integrating data and enabling AI-driven decisions.

The role focuses on leveraging AI and automation across processes to enhance operational efficiency and customer experience, collaborating with teams to implement effective solutions.

The AI Engineer will design, build, and deploy intelligent systems leveraging machine learning and generative AI, collaborating with cross-functional teams throughout the AI solution lifecycle.

Design, build, and operate production-grade RAG pipelines: ingestion, embedding, indexing, retrieval, reranking, and grounded answer generation. Optimize search quality, latency, cost, security, evaluation metrics, and observability while partnering across teams to deploy and continuously improve enterprise retrieval systems.

AI Engineer develops scalable AI capabilities, designs and trains machine learning and deep learning models, and integrates AI into business applications.

The Senior AI Engineer will architect, design, and implement AI and machine learning solutions, manage scalable AI capabilities, and mentor junior team members. Responsibilities include developing machine learning models, integrating AI into applications, and improving CI/CD pipelines.

The Lead Analyst, AI Engineer will develop and implement AI systems using machine learning and deep learning techniques, collaborating with teams to solve complex problems and improve technology solutions.

As AI/Automation Ops Lead, ensure efficient operations of data pipelines, manage outages, oversee AI application performance, and mentor a team while maintaining 24/7 support.

Develop, fine-tune, deploy, and maintain generative AI models and workflows. Collaborate with data scientists and engineers on data preprocessing, API development, prompt engineering, and production monitoring while ensuring compliance and documentation.

Develop and maintain scalable ML infrastructure, operationalize models, collaborate with stakeholders, and ensure high availability and reliability of ML systems.

The AI / ML Engineer designs and builds applications using AI tools and services, manages application pipelines, integrates Generative AI models, and collaborates with teams for project success.

The role involves developing AI applications, managing deployment pipelines, mentoring team members, and integrating Generative AI models to enhance project outcomes.

Design, build, fine-tune, and deploy language and document-understanding models; consult stakeholders to frame requirements; develop analytic plans; collaborate with engineers to integrate models; manage multiple projects and present insights to technical and non-technical audiences.

Optimize LLM performance and implement evaluation frameworks; build clustering models for customer and product segmentation; design and maintain data pipelines using SQL and Python DAGs.

Responsible for executing supplier strategy, managing full sales cycle, and enhancing customer satisfaction through relationship building and operational excellence.

As an AI/ML Engineer, you will develop and scale analytical solutions for transformer manufacturing, focusing on machine learning and data workflows.

The Lead AI Engineer will deploy and manage AI models and infrastructure, ensure system performance, automate tasks, and collaborate with teams.

The Principal AI Engineer will design and deploy end-to-end AI products, manage customer engineering, and translate complex requirements into technical solutions while ensuring high standards of code quality and deployment efficiency.

Design and develop AI-powered solutions in Python, integrate GenAI APIs, optimize performance, and collaborate with cross-functional teams.

The Engineering Manager will lead the AI Governance team, focusing on compliance and security in GitLab's software development lifecycle, overseeing roadmap execution and team growth.

The role involves participation in application systems analysis and programming, enhancing systems, consulting with users, and mentoring junior analysts.

This role involves applications development, system analysis, and programming, including consultation with users, project management, and leading agile teams.