Senior Machine Learning Engineer - AI Enablement

The role leads the architecture and delivery of scalable AI/ML systems and data pipelines that enable scientific research teams to leverage AI tools effectively.

Your tasks

• Lead technical design, architecture, and implementation of agentic AI solutions and data pipelines
• Drive end-to-end delivery of high-impact products, establishing best practices for testing, CI/CD, and documentation
• Shape foundational architecture decisions and champion best practices through code reviews
• Resolve technical bottlenecks and contribute across the stack as needed
• Stay current with emerging technologies and foster a culture of continuous learning

What you bring

• Master's degree with 5+ years of experience, or PhD with 3+ years, in Computer Science or related field
• Experience across the ML lifecycle including GPU optimization, model performance, and cloud-native architecture
• Solid knowledge of statistics and ML theory, plus AI/ML frameworks and toolsets
• Track record delivering AI/ML products and guiding cross-functional teams
• Strong communication skills, able to translate technical complexity for diverse audiences
• Experience with biological data, workflow automation, GenAI, or agents is a plus

Conditions

• Workload: 100 %
• Option of a permanent position after the assignment if both sides want it

Technologies

• Kubernetes
• AWS

How to apply

You apply with your Try&Hire profile: upload your CV, check the details, enter key facts and availability. A short introduction video is optional but helps. Our team will get in touch if your profile fits the assignment.