Top Artificial Intelligence Jobs in Chennai

The SDET will ensure quality in releases through testing system workflows, enhancing automation frameworks, and developing test infrastructure, collaborating closely with engineering teams.

The AI Engineer will develop and deploy AI/ML models and solutions, collaborate with teams, and ensure production readiness while addressing complex business problems.

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.

The Senior AI Engineer will develop and maintain AI pipelines, deploy models, troubleshoot issues, and manage AI solutions using advanced AI/ML techniques.

Design and develop automation workflows using Power Automate and Power Apps, integrate APIs, build chatbots, and ensure SDLC best practices.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

The Zoom AI DevOps Engineer will design AWS infrastructure for AI services, implement Infrastructure as Code with Terraform, and manage production deployments while ensuring system reliability and automation best practices.

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.

As a Go High Level CRM Expert, you will develop AI-driven automation strategies, optimize customer interactions, and improve lead management.

The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.

The Content Writer/Ai Editor will create high-quality content while leveraging AI tools for optimization, managing multiple projects, and adhering to brand guidelines.

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

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.

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.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Design and develop Agentic AI applications, lead teams, integrate AI systems, and ensure compliance with security and privacy standards.

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.

Join a remote team as a Lead Data Scientist focusing on building Generative AI applications. Responsibilities include developing applications, implementing pipelines, and performing model tuning.

Seeking a Senior API Developer to design, build, and support scalable APIs. Responsibilities include collaborating with teams, drafting technical requirements, and creating documentation.

The Principal Full Stack Engineer will architect and build AI-powered systems, design workflows, mentor engineers, and enhance development productivity at Sleek.

The AI & Automation Engineer will develop AI solutions for HR processes, build chatbots and NLP models, and integrate AI tools with Workday while ensuring compliance and governance standards.