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.

Ihre Aufgaben

• 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

Was Sie mitbringen

• 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

Rahmenbedingungen

• Pensum: 100 %
• Option auf Festanstellung nach dem Einsatz, wenn beide Seiten wollen

Technologien

• Kubernetes
• AWS

So bewerben Sie sich

Sie bewerben sich mit Ihrem Try&Hire-Profil: Lebenslauf hochladen, Angaben prüfen, Eckdaten und Verfügbarkeit eintragen. Ein kurzes Vorstellungsvideo ist freiwillig, hilft aber. Unser Team meldet sich, wenn Ihr Profil zum Einsatz passt.