AI & Machine Learning Jobs in Chennai

Build and maintain MLOps infrastructure and automation for machine-learning model development, deployment, monitoring and scaling; partner with data-science and engineering teams. ...read more

Develop software solutions that integrate ML models into GE Vernova products and internal processes. Design scalable systems with data scientists and build production software using Python, JavaScript, AWS and ML libraries; requires 3-5 years. ...read more

Build production Agentic AI and LLM applications using Python or TypeScript, REST/GraphQL APIs, LangChain, LlamaIndex or LangGraph, vector databases, RAG and cloud AI platforms. The posting requires 4+ years overall experience and hands-on agentic-AI deployment. ...read more

Architects end-to-end enterprise GenAI and agentic AI solutions using LLMs, RAG, vector databases, multi-agent frameworks, and cloud AI platforms; provides technical leadership and reference architectures. ...read more

Build secure cloud-native applications and AI-enabled experience layers with React, Python/FastAPI backend APIs, AWS Bedrock, RAG, vector search and enterprise integration. ...read more

Develop and productionize machine-learning models, including model engineering and improvement. Requires strong SQL/data handling and hands-on ML experience on a cloud platform such as GCP, AWS or Azure. ...read more

Design enterprise agents in Microsoft Copilot Studio and implement multi-step agentic workflows. Integrate Azure OpenAI, RAG knowledge sources, REST APIs, Microsoft 365 and governance controls. ...read more

Design intelligent orchestration workflows using Snowflake Cortex Code and Cortex for enterprise finance analytics. Build optimized data models, SQL transformations and secure analytical pipelines. ...read more

Build intelligent Salesforce agents that translate business requirements into AI/ML solutions. Integrate LLM or AI services with Salesforce APIs, Apex, Lightning components and data-governance workflows. ...read more

Design scalable AWS data architectures and build PySpark/Python pipelines in Databricks for insurance analytics. Optimize data workflows, data models and production data quality. ...read more