Time since we first saw it
Day 154
Up longer than most. Similar jobs usually come down between day 8 and day 76.
From 5,460 similar postings that came down. Coming down is not always a hire.
Noida, India
Open 5 months, first seen by us 154 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Build, train and deploy models for document understanding and information extraction
Extract legal entities and geospatial information from scanned documents
Automatically generate geo-tagged polygons from source documents
Integrate spatial data processing with GIS platforms
Support models through data preparation, deployment, optimization and production
building, training, and deploying models that support document understanding, information extraction
identify relevant legal entities, extract geospatial information
automatically generate geo-tagged polygons from the source documents
GIS integration with AIML, NLP and LLM
from data preparation and model development to deployment, optimization, and production support
1–3 years of hands-on experience in designing, developing, and deploying enterprise-scale AI/ML solutions
practical expertise in Natural Language Processing (NLP), Large Language Models (LLMs)
Computer Vision, Generative AI, and GIS-driven AI applications
strong programming, analytical, and problem-solving skills
Open 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 154
Up longer than most. Similar jobs usually come down between day 8 and day 76.
From 5,460 similar postings that came down. Coming down is not always a hire.
2 open jobs
Check the employer’s posting for the current role and application details.
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New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
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Noida, India
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