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Salary
≈ $13k – $32k per year (Estimated)
Location
In office (Noida)
Seniority
Junior · 1+ year exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Oct 3, 2026.

Overview
Company
Impact
Profile match
Headquartered in Noida, India, RMSI is a global leader in geospatial and engineering software solutions. The company provides specialized services in spatial data analytics, GIS application development, climate risk modeling, and utility network engineering. By combining deep domain expertise with location intelligence, it helps government agencies and enterprise clients optimize infrastructure and make data-driven decisions worldwide.

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.

Requirements

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.

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