AI ML Engineer

About the role

As AI ML Engineer, you will develop reusable geospatial AI building blocks that enable other teams to create and scale AI-powered capabilities. You will focus on hands-on implementation across embeddings, retrieval, geospatial data preparation and AI pipelines, while working with senior engineers on the broader architecture.

What you'll do

• Build reusable geospatial AI components, including embeddings, similarity-search and retrieval capabilities that other domain teams can use and extend
• Contribute to AI pipelines by implementing and improving detection, validation and data-handling components for map and imagery data
• Prepare and engineer imagery, map, sensor and traffic data for use in AI and machine-learning workflows
• Support training, evaluation and fine-tuning of geospatial foundation models in collaboration with senior engineers
• Develop well-tested, documented components and work with MLOps partners to enable reliable production serving

What you need

• 2–4 yrs of experience
• Machine learning
• Python
• MLOps
• Deep learning
• PyTorch
• TensorFlow
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• ETL
• C++
• Go
• Java