AI Architect / Machine Learning Engineer
Role details
Job location
Tech stack
Job description
At Medirion, we stand at the vanguard of healthcare innovation, harnessing artificial intelligence to advance earlystage detection of inflammation-related diseases. Our cutting-edge technology leverages extensive, patient-centric data to generate expansive datasets crucial for training advanced AI systems. These systems are pivotal in discovering new disease correlations, dramatically improving patient outcomes, and continually pushing medical technology boundaries, The Role: As AI Architect / Machine Learning Engineer, you will drive the development and deployment of sophisticated AI systems that are revolutionizing healthcare diagnostics. You will play a crucial role in our dynamic team, where every challenge is an opportunity for innovation., * Design and deploy AI-based systems, optimizing operations for maximal integration and efficiency.
- Lead the creation of robust AI infrastructure, providing a fertile ground for machine learning advancements.
- Analyze data deeply to influence strategic decisions and communicate actionable insights to stakeholders.
Long Term:
- Direct high-impact projects aligning with our strategic objectives to maintain and expand our technological lead.
- Develop comprehensive roadmaps for all AI projects, ensuring they meet our ambitious healthcareinnovation goals.
- Uphold the highest standards of ethics and compliance in all AI initiatives, guiding the future of ethical AI in healthcare.
Requirements
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Advanced degree in medical informatics, bioinformatics (or another life science field), or in medical documentation, data science, computer science or equivalent
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Hands-on experience with data modeling and ideally the use of medical data standards (HL7 FHIR, CDISC ODM, etc.).
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Proficiency in computational modeling and familiarity with medical ontologies (SNOMED CT, ICD-10, LOINC, etc.).
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Agile and structured problem-solving approach, with a proven record of taking on substantial responsibilities.
Preferred Experience:
- Stay informed on 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 & conditions
- Competitive salary scale (TVL 11-13) starting from Q2 2026, with transparency on progression.
- Comprehensive benefits package including health insurance, membership for the sport clubs, plus support for work-life balance.
- Wide range of social activities and team days.
