We are seeking a Machine Learning Engineer with 1–3 years of hands-on experience in designing, developing, and deploying enterprise-scale AI/ML solutions. The ideal candidate should have practical expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Computer Vision, Generative AI, and GIS-driven AI applications, along with strong programming, analytical, and problem-solving skills.

In this role, you will contribute to the development of LLM-based solutions on AI-powered GIS platforms, Multimodal and Geo-spatially aware models, and real-time feature detection systems. You will play a key role throughout the entire AI/ML lifecycle, from data preparation and model development to deployment, optimization, and production support, helping deliver scalable and impactful enterprise-grade solutions.

We require 3 AI/ML Engineers for the SCE project to work on scanned documents and develop an intelligent solution for extracting legal information and polygon geometry details. The objective is to leverage AI/ML, NLP, LLMs, and Generative AI techniques to identify relevant legal entities, extract geospatial information, and automatically generate geo-tagged polygons from the source documents. The selected engineers will be responsible for building, training, and deploying models that support document understanding, information extraction, spatial data processing, and GIS integration with AIML, NLP and LLM.