Top AI & Machine Learning Jobs in Mumbai, MH

Design, build, and deploy ML and generative AI solutions for marketing. Create scalable data and model pipelines, RAG/embedding workflows, agent automations, and integrate outputs into dashboards while collaborating with Marketing and Analytics.

Design, build, and productionize ML/NLP/LLM extraction systems to convert unstructured text into structured data. Own model architecture, training, deployment, monitoring, and integration with high-throughput pipelines. Improve evaluation, scalability, and reliability while collaborating with product and engineering stakeholders and contributing to team technical excellence.

Build and scale a unified AI/ML data collection platform: design, develop, test, deploy, and monitor LLM-driven data pipelines, RAG/embedding workflows, model lifecycle management, observability, and production MLOps systems to ensure reliable, maintainable, and cost-efficient ML capabilities.

Design, build, and operationalize a unified AI/ML data collection platform and production LLM workflows (RAG, embeddings, vector DBs). Lead model lifecycle management, observability, scalable inference, data quality/evaluation, distributed cloud-native architectures, and mentor engineers to deliver production-ready, cost-efficient ML systems.

The Engineering Manager will lead AI & ML initiatives focused on data collection, overseeing technical projects and developing a high-performing team. Responsibilities include providing technical direction, mentoring staff, ensuring system reliability, and maintaining data integrity and security. The role requires expertise in NLP and data processing with an emphasis on collaborative leadership and continuous innovation.

Design, build, and scale ML and GenAI systems. Own end-to-end ML solution lifecycle, including deployment, monitoring, and continuous improvement. Mentor junior engineers and ensure scalable architecture and system reliability.