Top Artificial Intelligence Jobs in Chennai

The AI Operations Specialist will support CoinMarketCap's AI team by conducting feature evaluations, developing tools and automations, managing outreach, and collaborating with internal stakeholders to enhance AI operations.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

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.

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.

Design and implement production-grade AI models and algorithms, lead AI initiatives across organizations, enhance Agentic AI capabilities, and collaborate with teams to develop high-impact AI features.

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.

Build end-to-end infrastructure for AI agents: design React/TypeScript UIs, implement Python agent harnesses, develop Kubeflow-based MLOps pipelines, fine-tune foundation LLMs (LoRA/QLoRA/SFT/RLHF), deploy and operate services on Kubernetes, integrate agent frameworks, and apply software engineering best practices, testing, and CI/CD.

Design and implement production-grade AI agent harnesses, build and operate MLOps pipelines with Kubeflow, fine-tune foundation LLMs (LoRA/QLoRA, SFT, RLHF), deploy and manage services on Kubernetes, integrate agent frameworks, and apply software engineering best practices to move models from prototype to production.

Design and develop machine learning infrastructure and models, support product teams, build scalable data services, and promote collaboration within a diverse engineering team.

Develop and maintain AI systems for a financial platform, focusing on LLM pipelines, ML model serving, backend integration, and collaboration with engineering teams.

Lead design, development, and deployment of scalable ML models and MLOps infrastructure on AWS (SageMaker). Build recommendation, fraud, and credit risk systems; implement monitoring, observability, CI/CD, and production support; mentor engineers and collaborate with product teams to deliver AI-driven features.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

Assist in developing AI solutions for financial planning, working on projects involving data structures, algorithms, and integrating AI features into the platform.

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

Build, deploy, and operate production ML and generative AI systems. Implement MLOps practices (experiment tracking, model versioning, CI/CD), design scalable serving architectures, monitor model performance and data drift, and collaborate with data scientists, engineers, and clients to operationalize AI across digital and marketing platforms.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

As a Senior Agentic AI Architect, you will design intelligent systems and lead the implementation of agentic AI solutions, focusing on enterprise-scale adoption and collaboration. Your role involves mentoring teams, engaging stakeholders, and ensuring responsible deployment while integrating various data and knowledge systems.

The Sr. GTM AI Analyst will design, automate, and optimize systems to enhance Alation's revenue operations, utilizing AI and engineering skills to build effective workflows and integrations.

The Software Engineer will design, develop, and deploy software solutions for KLA products, improve coding efficiency with AI tools, and collaborate with cross-functional teams. Responsibilities include debugging in complex systems and enhancing software architecture understanding.

Evaluate and author high-quality computer science content to improve AI model reasoning and accuracy. Analyze complex CS problems, create scenarios/datasets, review AI outputs for correctness, and collaborate remotely to refine guidelines and documentation.

Design, build, and deploy agentic Generative AI solutions and end-to-end ML pipelines. Perform prompt engineering, model integration (OpenAI, Llama family, Azure OpenAI), vector search, and productionization. Collaborate with customers, produce solution designs, and apply ML best practices for recommendation, deep learning, and NLP use cases.

Lead design and deployment of enterprise-scale multi-agent AI systems using agent orchestration, RAG, memory and evaluation frameworks. Define AI governance, observability, model monitoring, and secure AWS-based integrations. Provide architecture patterns, technical leadership, pre-sales support, and ensure production-ready, compliant AI solutions.

Design, develop, and deploy generative AI agents and end-to-end ML pipelines. Lead prompt engineering, LLM integration, model training, and productionization, collaborating with customers and stakeholders to deliver AI solutions.

As a Senior Agentic AI Lead, you will manage the agentic AI domain, engage with customers, oversee the AI lifecycle, and ensure effective data governance and analytics across various teams.