Senior Machine Learning Engineer
- Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
- Development of efficient, scalable training and inference pipelines
- Mentoring junior ML engineers, reviewing code and sharing best practices
- Collaboration cross-functionally with data engineers, product teams, and remote sensing experts
- Performance optimization for large-scale ML workflows and data processing pipelines
- Contribution to strategic technical decisions around model deployment and MLOps
- Application of Machine Learning research to real-world sustainability challenges
- Professional experience in Machine Learning, ideally with deep expertise in Computer Vision
- Proficiency in Python and PyTorch
- Successful delivery of production-grade ML systems
- Foundation in algorithms, data structures, and ML system design
- Problem-solving skills and a bias for action
- Experience with CI/CD, model versioning, and model deployment at scale
- Experience working on cloud infrastructure (Azure preferred)
- Experience in geospatial data or remote sensing
- Experience in point cloud data processing
- Experience with PostgreSQL or other relational DBs
- Experience with workflow automation tools like Airflow
- Experience with DevOps tools (Docker, Kubernetes)
- Contributions to open-source ML projects or published research
- Shower
- Corporate events
- Bicycle storage
- Sports facilities
- Dog friendly