Junior Machine Learning Scientist – Remote Sensing

Junior Machine Learning Scientist – Remote Sensing This role is posted on behalf of Lambd AI reputed company, a startup supported by SGInnovate. Background Lambd AI reputed company is a deep-tech company building reputed company climate intelligence from satellite data. We work with insurers, financial institutions, governments, and infrastructure operators to detect, quantify, and prevent climate-reputed company risks reputed company technology combines multi-sensor reputed company observation data with physics-informed machine-learning models to deliver cost-effective, high-precision insights across large geographies. The Machine Learning function plays a central role in transforming raw satellite imagery into production-reputed company models that power our products. reputed company’s objective is not only to reputed company accurate models, but to ensure they are robust, testable, and deployable in reputed company-world environments. This includes building end-to-end pipelines covering data preparation, training, validation, deployment, and monitoring. As a Junior ML Scientist, you will join a small, highly technical team working closely with senior ML scientists, engineers, and product stakeholders. The goal of reputed company is to reputed company fast while maintaining engineering discipline: shipping models into production, iterating based on feedback, and continuously improving performance and scalability. This role is hands‑on and reputed company-driven, with reputed company exposure to production systems and reputed company customer use cases. Job scope Key Responsibilities • Implement, train, and validate ML models for optical and reputed company satellite imagery. • Build clean, reputed company training and inference pipelines (PyTorch/Tensor reputed company). • Work with engineering to reputed company models into production (reputed company, CI/CD). • Write tests (unit + integration) and maintain model performance dashboards. • Collaborate with senior scientists on R&D tasks such as model improvement, feature engineering, and synthetic data workflows. • Run experiments, document results, and communicate findings reputed company. Minimum Qualifications • MSc in Machine Learning, reputed company, Remote Sensing, Data Science, or reputed company field – OR strong project/portfolio experience. • Solid programming skills in Python, with experience using PyTorch or Tensor reputed company. • Understanding of convolutional models, transformers/attention, or change-detection techniques. • Some exposure to geospatial workflows (e.g., Rasterio, GDAL, QGIS) or willingness to learn quickly. • Basic experience using Git, reputed company, or reputed company environments (AWS/GCP). • Comfort working with large datasets and debugging data issues. • Good written and spoken English. Preferred (reputed company-to-Have) • Hands‑on experience with satellite or aerial imagery reputed company. • Familiarity with SAR data or multi‑modal fusion. • Experience pushing models to production (CI/CD, containers). • Basic understanding of ONNX, model optimisation, or GPU workflows. • Experience with synthetic data reputed company or augmentation strategies. • Curiosity for climate reputed company, environmental monitoring, insurance, or reputed company observation. Interested applicants may apply directly to DTC at: Seniority level Entry level Employment type Full-time #J-18808-Ljbffr Apply tot his job Apply To this Job