Top Artificial Intelligence Jobs in Chennai

Early-career research role designing and running experiments on LLM reasoning, post-training alignment, and test-time scaling. Implement model variants and training pipelines in PyTorch/Hugging Face, evaluate on crypto-native data, maintain experiment tracking (W&B), and partner with engineering to translate research to production.

Six-month early-career internship building LLM-powered agent workflows and production AI components. You'll design prompts, retrieval and tool-use logic, run benchmarks, improve quality/latency/reliability/safety, contribute to backend services/APIs, and ship working prototypes alongside full-time engineers.

Lead AI-driven growth product strategy to improve acquisition, activation, retention, cross-sell, and churn reduction. Design viral loops and referral programs, use data and user insights to inform features, manage roadmaps, run experiments, and collaborate with marketing, operations, and engineering to optimize user funnels and drive scalable organic growth.

Responsible for functional and API testing of platform products, designing and executing end-to-end tests across frontend, backend, strategy, and algorithms. Validate personalized user experiences, improve test coverage and QA processes, and drive adoption of AI-assisted test generation and automation. Collaborate with Product, Engineering, Algorithm, and Strategy teams to identify issues and ensure quality.

Senior Data & AI consultant responsible for designing, developing, and delivering cloud data and AI solutions on Microsoft platforms. Lead data engineering, platform modernization, ML readiness, MLOps, and Azure-based deployments while collaborating with customers and teams to drive adoption and technical excellence.

Design, build and deploy AI agents, automation workflows and system integrations using Azure AI, OpenAI and Microsoft Power Platform. Automate business processes, create dashboards and data pipelines, integrate Microsoft Business Central/SharePoint/365 with third-party systems, and lead projects from requirements through deployment and user training.

The Senior Snowflake/AI Automation Engineer will design and optimize data pipelines on Snowflake, develop automation solutions, and integrate ERP systems to support revenue processes. Key responsibilities include collaborating with stakeholders and ensuring data compliance and accuracy.

Build and scale an AI-powered stock research platform: design data pipelines ingesting SEC and market data, develop backend APIs, implement semantic search with embeddings and vector DBs, improve production reliability and performance, and own features end-to-end from design through deployment and monitoring.

Early-career full-time program offering training, mentorship, and hands-on work within Binance's blockchain ecosystem. Participants develop practical skills in Web3, collaborate across teams, and contribute to product and engineering projects while receiving tailored curriculum and 1:1 mentorship.

Design, build, deploy, and monitor production-grade AI/ML solutions. Develop data pipelines, train and optimize models, implement MLOps and CI/CD, integrate AI into enterprise applications, mentor junior engineers, and ensure security, governance, and responsible-AI practices.

Lead QA for AI products: define QA strategy, architect large-scale reusable automation frameworks, design tests for RAG, hallucination, drift, and bias, influence cross-functional teams, coach and upskill engineers, and own the AI verticals quality roadmap to improve scalability and reliability.

The role involves developing AI-powered applications, translating business needs into technical solutions, and maintaining deployed systems.

Develop AI-powered applications, design voice AI solutions, connect AI systems to data, and improve deployed AI systems while collaborating with stakeholders.

Lead the design and development of advanced Generative AI solutions, managing a team while implementing AI technologies to enhance business outcomes and user experiences.

Negotiate, redline, and finalize customer and partner contracts (BAAs, DPAs, NDAs, MSAs, SOWs); draft reusable templates; advise on GDPR, CCPA/CPRA and SCCs; ensure contract terms align with SOC 2 and ISO 27001; support Sales and Compliance, accelerate deal velocity with fast redlines and customer calls; build contract processes and workflows at a fast-growing AI startup. Contractor role with Pacific Time availability required.

The role seeks an AI Lead to drive Generative AI and Computer Vision projects, focusing on precise visual transformations and model training while mentoring engineering teams in best practices.

The AI Lead will design, develop, and implement AI solutions to enhance the SDLC stages, mentor teams, and ensure responsible AI practices.

Lead strategy, roadmap, and execution for Maropost's Da Vinci AI platform. Prioritize AI opportunities across product clouds, drive assistive/agentic automation and personalization, establish responsible AI governance, partner with cross-functional teams from discovery to launch, measure business impact, and present outcomes to executive leadership.

Design, implement, fine-tune, and deploy ML models and GenAI/LLM applications (summarization, sentiment, content generation). Build data pipelines, research GenAI frameworks (LangChain, LlamaIndex), optimize models for performance and scalability, and collaborate with cross-functional teams to integrate AI into business processes.

Design, develop, and maintain scalable full‑stack applications using .NET, React/Angular/Blazor. Integrate generative AI/NLP solutions (Azure OpenAI, AWS Bedrock, Semantic Kernel, LangChain) with APIs, CI/CD, Docker, and cloud deployment. Ensure code quality, security, and collaborate across teams to deploy production AI solutions.

Develop and execute organic marketing strategies to drive lead generation. Manage SEO, content-driven email campaigns, and webinars. Analyze campaign performance and optimize for improvements. Support revenue operations (RevOps) to align marketing with sales.

Design, develop, and deploy advanced AI/ML models; manage large-scale data pipelines; build conversational and generative AI solutions; collaborate with stakeholders; monitor and optimize production models; document workflows and implement industry best practices.

The AI Platform Engineer will design and optimize AI/ML infrastructure, automate pipelines, and manage Kubernetes for effective machine learning model deployment and collaboration.

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

Create high-quality video content and integrate AI tools into production workflows, combining storytelling and video craft to enhance cinematic quality.