This role builds scalable AI/ML infrastructure, data pipelines and agentic applications that enable scientists in pharmaceutical research and development. Your tasks Translate scientific and business needs into technical design and implementation of agentic AI solutions Write, test and ship maintainable production code and build scalable systems and data pipelines Apply software engineering best practices such as testing, CI/CD and documentation Evaluate and scale ML systems using quantitative metrics and AI tooling Contribute to architectural decisions, code reviews and evolution of development processes Work across the stack beyond core area of expertise when needed What you bring Master's degree with 2+ years of professional experience or a PhD in Computer Science or similar technical field Experience across the ML lifecycle: GPU optimization, model performance, backend systems, cloud-native architecture Solid knowledge of statistics, ML theory and AI/ML frameworks, libraries and toolsets Experience with software engineering best practices: testing, clean code, documentation Strong communication skills across technical and non-technical audiences Willingness to work onsite approximately 3 days a week Conditions Workload: 100 % Work model: Hybrid Option of a permanent position after the assignment if both sides want it What to expect Onsite work approximately 3 days a week 3–6 months interim, then a permanent position Technologies Kubernetes AWS #J-18808-Ljbffr
Machine Learning Engineer, AI Enablement Arbeitgeber: Try&Hire
Try&Hire ist ein hervorragender Arbeitgeber, der innovative Technologien im Bereich der KI und Computer Vision fördert. Unsere offene und kollaborative Arbeitskultur ermöglicht es Ihnen, an spannenden Projekten zu arbeiten und Ihre Fähigkeiten kontinuierlich weiterzuentwickeln. Zudem bieten wir flexible Arbeitszeiten und die Möglichkeit, in einem dynamischen Team zu wachsen, das sich leidenschaftlich für wissenschaftliche Fortschritte in der Bildanalyse einsetzt.
