ml engineer for aquaculture

The company develops AI-powered systems at the intersection of computer vision, biology, and specialized imaging to detect, identify, and predict traits of aquatic species for aquaculture.

• Design and implement ML and classical computer vision algorithms;
• Develop POCs and working prototypes;
• Plan and conduct experiments around business and research questions;
• Build data processing and training pipelines;
• Extend existing ML / DL frameworks and codebases;
• Develop model testing and statistical verification processes;
• Document experiments and research findings;
• Lead long-term applied research activities;
• Stay up to date with the latest AI/ML developments;
• Support recruitment of additional AI talent.

• 4+ Years of experience in Machine Learning / AI research or engineering;
• Strong hands-on experience in Computer Vision and image/video processing;
• Strong Python skills;
• Experience with PyTorch, scikit-learn, SciPy, Matplotlib or similar ML frameworks;
• Strong understanding of data structures, data modeling, and software architecture;
• Ability to take research ideas from POC to working prototype;
• Experience designing and running experiments;
• Strong understanding of model testing and statistical validation;
• Clean, robust, and efficient coding skills;
• Strong English communication and presentation skills;
• MSc / PhD preferred; strong BSc candidates with equivalent industrial experience are also welcome;
• Nice to have: production ML / AI deployment experience, CUDA / ONNX / TensorRT, Docker / Kubernetes, SQL / MongoDB, AWS / Azure / GCP, MLOps including MLflow, DVC, Metaflow, and Databricks, CI/CD tools, networking / message-passing protocols.

• The role is onsite in the EU or Asia.