Machine Learning Engineer, AI Enablement

This role builds scalable AI/ML infrastructure, data pipelines and agentic applications that enable scientists in pharmaceutical research and development.

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

Profile

• 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

Offer

• Onsite work approximately 3 days a week
• 3–6 months interim, then a permanent position

Company

Pharmaceutical research

Apply online via Try&Hire with your profile — https://tryandhire.io/ch-en/jobs/e/machine-learning-engineer-ai-enablement-tah-r4kld/