Machine Learning Engineer
• Lead
• On-Site
• Data
Mark status as:
✨ The Role in One Sentence
Lead Machine Learning Engineer to build image analysis systems and machine learning models for cancer diagnostics.
📋 What You'll Likely Do
30%: Lead ML engineering projects and coach other ML engineers.
30%: Implement AI production systems and improve GPU training/inference scripts.
40%: Extend visualization tools and support data annotation processes.
🧑💻 Profiles Doing This Job
High Priority: M.Sc / P.hD in Computer Science, Mathematics, Physics or similar.
High Priority: Experience with machine learning, especially PyTorch.
High Priority: Advanced skills in Python, bash, Git and linux tools.
📈 How This Role Will Look on Your CV
Led machine learning engineering projects in a healthcare startup.