Forward Deployed AI Engineer deploying generative models for pharmaceutical and biotech customers. Ensuring seamless integration and advocating for customer success through technical excellence and collaboration.
About the role
- AI Architect/Machine Learning Engineer at Medirion driving AI systems for healthcare diagnostics. Focused on innovative solutions and high-impact projects to advance medical technology.
Responsibilities
- Drive the development and deployment of sophisticated AI systems that are transforming healthcare diagnostics.
- Design and implement AI-based systems, optimizing operations for seamless integration and efficiency.
- Lead the creation of robust AI infrastructure that provides a solid foundation for machine learning advancements.
- Perform in-depth data analysis to inform strategic decisions and communicate actionable insights to stakeholders.
- Lead high-impact projects aligned with strategic objectives to maintain and expand our technological leadership.
- Develop comprehensive roadmaps for AI initiatives, ensuring alignment with our ambitious healthcare innovation goals.
- Maintain the highest standards of ethics and compliance across all AI initiatives, guiding the future of ethical AI in healthcare.
Requirements
- Advanced degree in medical informatics, bioinformatics or another life sciences field, or in medical documentation, data science, computer science, or equivalent.
- Practical experience with data modeling and, ideally, the application of medical data standards (HL7 FHIR, CDISC ODM, etc.).
- Proficiency in computational modeling and familiarity with medical ontologies (SNOMED CT, ICD-10, LOINC, etc.).
- Agile and structured problem-solving approach with a proven track record of taking on significant responsibilities.
- Up-to-date knowledge of AI research trends, particularly in Safe AI, Ethical AI, and Fair AI.
- Experience with Cloud AI/ML services (AWS, GCP, Azure) and Big Data technologies.
- Understanding of the software development lifecycle and agile project methodologies.
Benefits
- Long-term incentives such as employee stock options (ESOP).
- Competitive salary scale (TVL 11–13) starting from Q2 2026, with transparent progression.
- Comprehensive benefits package including health insurance, sports club membership, and support for work–life balance.
- Wide range of social activities and team events.
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