ML Ops Engineer (Geo AI & ML) in Bengaluru

Deepspatial is seeking a skilled ML Ops Engineer specializing in Geo AI and Machine Learning to join our team in Bengaluru. This role is crucial for the design, development, and deployment of scalable AI/ML models tailored for geospatial applications. You will act as a vital link between data science and production systems, ensuring our GeoAI models are efficient, reproducible, and seamlessly integrated into operational workflows. The ideal candidate possesses a unique combination of geospatial expertise, machine learning proficiency, and robust 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 GIS platforms like ArcGIS, QGIS, or similar.
• 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, including libraries like scikit-learn, TensorFlow, and PyTorch.
• Proficiency in R for statistical analysis and visualization.
• Experience with SPSS for data modeling and statistical interpretation is preferred.

Mandatory Requirement

• At least one international publication in a reputable journal indexed in Scopus or Web of Science.

Qualifications

• Bachelor's/B.Tech degree with a Master's/Ph.D. specializing in GeoAI, Machine Learning, or related fields.
• Alternatively, an 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 principles, 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 Deepspatial?

• Contribute to real-world geospatial AI challenges with significant social and environmental impact.
• Collaborate within a multidisciplinary R&D team comprising data scientists, engineers, and geospatial experts.
• Benefit from opportunities for research publications, international collaborations, and career growth.