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.

Vos tâches

• 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

Ce que vous apportez

• 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

• Taux d'activité: 100 %
• Option d'engagement fixe après la mission, si les deux parties le souhaitent

Technologies

• Kubernetes
• AWS

Comment postuler

Vous postulez avec votre profil Try&Hire : téléchargez votre CV, vérifiez les informations, indiquez les données clés et votre disponibilité. Une courte vidéo de présentation est facultative, mais elle aide. Notre équipe vous contacte si votre profil correspond à la mission.