Deepspatial - MLOps Engineer - Data Modeling
2 weeks ago
Description : Job Role : ML Ops Engineer (Geo AI & ML)Location : BangalorePosition 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 efficient, 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 visualizationAI/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 ScienceQualifications :- 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 & MLDesirable 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 managementWhy 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- Opportunities for research publications, international collaborations, and career growth (ref:hirist.tech)
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