Machine Learning Specialist
Core
Senior ML leader responsible for owning the integrity, reproducibility, and continuous improvement of production ML models for farm-level intelligence in agriculture.
Role type
Senior IC machine learning specialist (agricultural data intelligence)
Builds
Production ML models for crop health, yield prediction, risk profiling, and market forecasting
Domain
Agriculture + Geospatial ML + Remote Sensing
Deliverable
production ML models
Required skills
Geospatial ML, remote sensing, time-series modelling, MLOps, model governance, team mentoring, data strategy under scarcity, technical communication
Preferred skills
AWS cloud infrastructure, insurance/credit risk context, ensemble methods, CNNs, foundation models, ground-truth data collection
Technologies
AWS (S3, EC2/ECS, IAM), Git, KoboToolbox, Sentinel, Planet Labs, Prophet, LSTM, XGBoost, CNNs, SAM
Responsibilities
Lead model development, training, validation, deployment, and monitoring; Architect reproducible ML pipelines; Drive multi-crop and cross-country model generalization; Enforce model validation protocols and governance reviews; Design ground-truth data collection strategies; Mentor junior data scientists; Translate model capabilities into actionable intelligence for clients
Seniority
Senior, hands-on IC with team leadership
