data
Added Apr 25Senior Computer Vision Data Scientist
at Spore.Bio
Paris, FranceRemote
Responsibilities
- Deploy and adapt our computer vision models to meet field constraints and production requirements. •
- Plan data acquisition hand in hand with microbiologists by understanding deeply and taking field constraints into account
- Define and scope data acquisition needs to improve model training and generalization.
- Train, validate, and benchmark machine learning models; perform detailed error analysis to guide improvements.
- Identify bottlenecks and propose enhancements to data workflows to accelerate model development.
- Mentor and guide junior team members, fostering technical growth and best practices. About you
Requirements
- Spore.Bio is a deeptech start-up born in 2023, building a new paradigm in the quality control systems in Food&Beverage, Cosmetics, and Pharmaceutics factories.
- Build a thorough understanding of the end-to-end data generation pipeline, from sample preparation to downstream processing.
- Education & Background: Master's degree or PhD in Data Science, Computer Science, Engineering, or a related field •
- Proficiency with PyTorch or similar deep learning frameworks
- Solid understanding of modern neural network architectures for vision tasks (e.g. Vision Transformers, segmentation networks, CycleGANs) •
- Experience deploying ML models in production environments and handling operational constraints
- Familiarity with data processing and backend tools (e.g. pandas, FastAPI)
- Exposure to cloud environments (AWS, GCP, or Azure) is a plus
- Strong coding fundamentals and clean code practices
- Demonstrated ability to mentor and guide junior data scientists
- Ability to navigate and contribute in multi-disciplinary environments, including client-facing or cross-functional discussions
Experience
- Minimum 4+ years of professional experience, with proven track record of deploying models to production Technical Skills: