Top Artificial Intelligence Jobs in Chennai

The role involves managing business transformations and using supply chain analytics to enhance performance. Responsible for building advanced analytics models and providing strategic advisory services.

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 AI Intern will assist in the integration, deployment, and operationalization of AI models, focusing on data engineering, backend development, and quality assurance while supporting documentation and knowledge transfer.

As an AI Engineer, you will design and implement AI-driven solutions using LLMs and traditional ML techniques, ensuring integration with enterprise platforms and optimizing user interfaces. Collaborate with teams to establish AI standards and manage the AI solution lifecycle in Agile environments.

The AI Engineer will build and optimize AI/ML models, integrate them with existing systems, manage model lifecycles, and ensure ethical AI practices.

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.

Lead technical development of AI solutions for finance automation, mentor teams, integrate AI with enterprise systems, and present to executives.

The Jr. AI Engineer will design and develop AI solutions, implement LLM use cases, and deploy scalable AI services on AWS and Azure, collaborating with teams to meet business needs.

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

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

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 GTM Engineer will design and build automation systems for lead routing, pipeline management, and data syncing across various tools to enhance sales productivity and revenue growth.

Seeking a Senior Java Developer with 5+ years of experience to architect and implement enterprise applications, focusing on AI features and Large Language Models integration.

The QA Analyst will perform manual testing, create test cases, utilize AI tools, assist with automation, and collaborate with teams.

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

The ServiceNow Solution Architect - AI role involves leading and mentoring a team, designing and deploying AI-driven applications, managing application development, and integrating solutions into ServiceNow modules. Responsibilities include coordinating with stakeholders, troubleshooting, and ensuring adherence to technical standards.

Drive data-driven decisions for Generative AI products: prepare datasets and annotation pipelines, evaluate LLM performance, analyze user and workflow data, design A/B tests, monitor cost/latency, and deliver insights to product and engineering to improve adoption and AI quality.

The Senior AI QA Engineer will oversee test planning, automation framework development, API testing, and ensure high-quality AI solutions. Responsibilities include end-to-end testing across AI/ML systems, collaboration with data and DevOps teams, and mentoring junior QA members.

Provide application support and IT operations for AI and data platforms, deploy and monitor GenAI and machine learning models, troubleshoot production issues, collaborate with data scientists, and ensure system reliability and performance.

The AI Tooling Program Associate will lead the development and implementation of AI tools, identify automation opportunities, and support operations within the Databricks Professional Services team.

The role involves building and scaling Generative AI solutions using LLMs and automation frameworks, optimizing AI applications, and integrating with Oracle Fusion. Candidates should have hands-on expertise in AI development, especially in Python and various AI frameworks.

Lead the design and development of Generative AI systems, creating LLM-powered applications, optimizing performance, and mentoring engineers.

The AI QA Specialist will design and execute test strategies for AI systems, validate model outputs, implement monitoring dashboards, and ensure compliance with safety standards.

The MDM Specialist will design and implement master data management solutions, integrate AI workflows, and ensure data governance and quality across customer and vendor domains.

The AI Manager will lead a global team in AI project delivery, manage AI roadmaps, oversee LLMOps pipelines, and engage with stakeholders while ensuring compliance and performance metrics are met.