Job Role : ML Ops Engineer (Geo AI & ML)

Location : Bangalore

Position Overview

As an ML Ops Engineer (GeoAI & ML), you will play a key role in designing, developing, and deploying scalable AI/ML models for geospatial applications.

You will bridge the gap between data science and production systems - ensuring that our GeoAI models are effective, reproducible, and seamlessly integrated into operational workflows.

This position requires a unique blend of geospatial expertise, machine learning proficiency, and DevOps/ML Ops practices.

You will collaborate with researchers, data scientists, and engineers to advance cutting-edge solutions in areas such as remote sensing analytics, environmental monitoring, urban intelligence, and location-based insights.

Key Responsibilities :

Geospatial Expertise :
Proficiency with ArcGIS, QGIS, or similar GIS platforms
Experience with Google Earth Engine (GEE), remote sensing, and satellite image processing
Strong understanding of spatial analysis, geostatistics, and geospatial data visualization

AI/ML & Programming :
Advanced Python programming skills (scikit-learn, TensorFlow, PyTorch, etc.)




Proficiency in R for statistical analysis and visualization
Experience with SPSS for data modeling and statistical interpretation (preferred)

Mandatory Requirement :
At least one international publication in a reputed journal indexed in Scopus or Web of Science

Qualifications :
B./B.Tech with M.Tech/Ph.D specializing in GeoAI, Machine Learning, or related fields OR
MCA/MBA with a strong specialization or practical experience in GeoAI & ML

Desirable Skills :
Hands-on experience with cloud platforms such as AWS or Azure
Familiarity with ML Ops, CI/CD pipelines, and model deployment workflows
Exposure to satellite imagery, LIDAR data processing, and PostGIS
Strong understanding of data versioning, automation, and model lifecycle management

Why Join Us ?
Work on real-world geospatial AI challenges with social and environmental impact
Collaborate with a multidisciplinary R&D; team of data scientists, engineers, and geospatial experts
Prospects for research publications, international collaborations, and growth opportunities

📌 Mlops Engineer Bengaluru
🏢 Deepspatial
📍 Bengaluru