Entry - level AI Engineer responsible for developing, testing, and deploying ML and LLM - based solutions. Supporting foundational engineering skills across AI spectrum in a hybrid work environment.
About the role
- AI Architect / Machine Learning Engineer driving development and deployment of AI systems revolutionizing healthcare diagnostics. Working with patient-centric data to improve disease detection and outcomes.
Responsibilities
- Drive the development and deployment of sophisticated AI systems that are revolutionizing healthcare diagnostics.
- Design and deploy AI-driven solutions, optimizing operations for seamless integration and maximum efficiency.
- Lead the creation and scalable implementation of robust AI infrastructure to support advanced machine learning applications.
- Perform deep data analysis to inform strategic decisions and communicate actionable insights to stakeholders.
- Direct high-impact projects that align with strategic objectives to sustain and expand our technological leadership.
- Develop comprehensive roadmaps for AI initiatives, ensuring they meet ambitious healthcare innovation goals.
- Uphold the highest standards of ethics and compliance across all AI initiatives, shaping the future of ethical AI in healthcare.
Requirements
- Advanced degree in medical informatics, bioinformatics (or another life science field), medical documentation, data science, computer science, or an equivalent qualification.
- Hands-on experience with data modeling and, ideally, practical experience with 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 substantial responsibilities.
- Stay current with 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 memberships, and support for work–life balance.
- Broad range of social activities and team-building events.
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