Top Artificial Intelligence Jobs in Chennai

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

The role involves leading the AI and Data Platform DevSecOps function, establishing operational models, managing incidents, driving continuous improvement, and ensuring production stability.

The role involves creating SEO, CRO, and GEO-optimized content for the Australian market, leveraging AI tools and ensuring high editorial quality for improved organic traffic and conversions.

The AI Engineer will analyze complex datasets, develop and implement machine learning models, and create data visualizations. Collaboration with teams and thorough documentation of processes is essential.

Lead the design and implementation of Azure-based lakehouse architectures and data pipelines, while mentoring a high-performing data and AI engineering team.

The role involves designing and implementing Python applications using AI techniques, working with data technologies, and collaborating with teams in an Agile environment to fulfill research delivery strategy.

The role involves providing legal guidance on global privacy and AI issues, collaborating with teams to ensure compliance, and developing scalable processes.

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

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 AI Solutions Engineer role involves deploying AI tools, optimizing AI agents, improving workflows with AI, integrating systems, and training users on AI solutions.

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.

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

The Solutions Architect will guide startup customers in developing and scaling Generative AI applications, collaborating closely with various teams and providing technical advice.

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.

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

The role involves developing, analyzing, and enhancing applications systems, supporting programming solutions, and ensuring compliance with laws and regulations while serving as a mentor to junior analysts.

The role involves developing scalable machine learning systems, consulting with users, analyzing applications for vulnerabilities, and advising less experienced analysts.

The Senior AI Engineer designs and implements AI solutions, develops LLM applications, builds production ML pipelines, and engages directly with customers for high-impact AI projects.

As a Senior Full Stack Developer, you will design and build end-to-end features across backend and frontend using .NET and React, collaborate on system architecture, and integrate AI capabilities.

The AI Engineer will maintain and enhance AI services on the Sootra platform, optimizing pipelines, managing microservices, and developing feedback systems to improve AI performance.

The AI Solution Architect will manage AI use-cases from inception to production, designing scalable architectures while ensuring compliance and mentoring teams.

Join the team as a Senior Developer to create innovative Python solutions and implement generative AI frameworks while collaborating on project delivery.

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