Python Developer

Python Developer / Data Scientist Overview A Python developer with a data science background to become the long-term owner of the NDT project. The developer will co-build across the entire codebase with the current team to understand it and then take over ownership once the current team leaves. From that point, the developer will keep the project running and continuously adapt it to changing business requirements. Expected Tools & Knowledge Must have Python: solid and production-minded Data science Experiment tracking with MLflow Collaborative programming and Git Self-reliance, with the ability to unblock minor technical issues independently Classical machine learning Computer vision Kubernetes REST / FastAPI Responsibilities Co-build across the entire codebase with the current team and prepare to take full ownership once they leave. Own the project long term, maintain it, and continuously adapt it to changing business requirements. Continuously evaluate model performance. Collect new data and re-trigger model training when needed. Critically challenge the training data and determine whether a model is good enough to deploy. Competencies Python & Software Engineering Solid, production-minded Python. Comfortable taking over and maintaining an existing codebase. Uses Git and works effectively in a collaborative development setup. Data Science & Model Judgment Strong grounding in data science. Questions whether the training data is sound and whether a model is genuinely ready to deploy, rather than trusting metrics at face value. Evaluates model performance and knows when to collect data and retrain. Business Stakeholder Interaction Works directly with business stakeholders to understand and clarify changing requirements. Translates business requests into concrete changes to the project. Communicates results and model limitations clearly to non-technical audiences.