Senior Machine Learning Engineer
Core
Design and execute AI strategy for geoscientific applications, managing the full ML lifecycle from data to deployment.
Role type
Senior Machine Learning Engineer (Geoscience/AI Strategy)
Builds
Production ML models for geospatial analysis, computer vision, and time series forecasting
Domain
Geoscience, AI/ML, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, PyTorch, scikit-learn, ONNX Runtime, OpenVINO, AWS, MLOps, CI/CD, Containerization, Microservices, Data Security
Preferred skills
PostGIS, GeoPandas, Master's or Ph.D. in CS/ML
Technologies
PyTorch, scikit-learn, ONNX Runtime, OpenVINO, AWS, PostGIS, GeoPandas
Responsibilities
Define and execute AI strategy for geoscientific applications; Manage full-cycle ML lifecycle including data preprocessing and model deployment; Design and implement ML solutions for computer vision and time series forecasting; Drive adoption of MLOps frameworks and CI/CD pipelines; Enhance AI infrastructure for scalability and automation; Lead and mentor ML teams on complex projects.
Seniority
Senior, hands-on IC with leadership responsibilities
