Top AI & Machine Learning Jobs in Mumbai, MH

Lead design, development, and deployment of production ML systems for HD mapping, ADAS and IVI. Own end-to-end ML architecture, data ingestion, training, inference pipelines, MLOps (CI/CD, versioning, monitoring), and integrate outputs into map compilation. Drive models in computer vision, NLP, generative/agentic AI, and ensure scalable, reliable in-cloud or in-vehicle deployments while mentoring teams and enforcing engineering best practices.

Lead design and deliver efficient perception models for road scenes, optimize models for edge devices (Jetson, Snapdragon, ARM), improve real-time inference via quantization/pruning/distillation, convert/deploy with TensorRT/ONNX, build scalable training/evaluation with PyTorch or TensorFlow, and collaborate with embedded and software teams to produce production-ready edge AI systems.

Lead integration and deployment of Vision Foundation and Vision-Language Models into scalable production systems. Build APIs, inference pipelines, evaluation and benchmarking frameworks, and data pipelines for large-scale image/video multimodal workloads. Collaborate with data scientists to optimize models, analyze failures, and support retrieval-augmented systems using embeddings and vector databases.

Build, operate, and improve end-to-end Agentic AI/ML pipelines and a map compilation platform for HD maps. Implement scalable CI/CD/CT for ML, design fault-tolerant orchestration, deploy containerized models in cloud-native environments, monitor model performance and data drift, manage model lifecycle/versioning, drive IaC and cloud reliability, and collaborate on architecture and incident resolution.

Design and implement map and location quality testing end-to-end: statistical/experimental designs, sampling plans, ML models, metrics, and data/computing tools. Serve as SME, collaborate with stakeholders and customers, present findings, and lead quality strategy and implementation for map quality evaluation.

Lead development and deployment of scalable machine learning and analytics solutions for global map-making. Design process automation, build predictive and statistical models, lead modeling teams, collaborate with researchers, developers, architects, and customers, and work with big-data pipelines and point-cloud/computer-vision methods.