Trainee / Junior AI Engineer supporting real customer projects at WE BUILD AI. Working with AI applications including automation solutions and machine learning models in a hybrid environment.
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.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Principal Software Engineer leading infrastructure initiatives for Workday AI Platform. Collaborating with teams to optimize and enhance an AI - focused technology stack.
Product Manager with Dell Technologies delivering new AI applications and building product - quality proof - of - concepts. Collaborating with cross - functional teams in a fast - paced, innovative environment.
Lead AI Engineer creating AI - powered solutions with Python and machine learning frameworks. Collaborate with data scientists and engineers to optimize innovative application development.
Lead Engineer designing, building, and deploying AI - enabled solutions at Bauer Media Outdoor. Collaborating with Product Leads to integrate innovative AI technologies and enhance business operations.
AI Engineer Lead at Orica managing and optimizing AI models and datasets while mentoring engineers. Bridging R&D, Engineering, and Data Platforms in a collaborative environment.
AVP - Cloud & GenAI Lead & Architect driving enterprise cloud strategy and leading AI initiatives. Collaborating on AI programs and defining cloud architecture best practices in a leadership role.
Engineering intern contributing to technical projects in the music tech industry. Building production - level systems and gaining exposure to business and industry outcomes.
AI/ML Engineer shaping the future of legal AI at Ironclad, using cutting - edge tools for contract management. Collaborating with product teams to enhance AI capabilities and user experiences.
Lead the AI vision for AEC Construction as a Distinguished AI Architect at Autodesk. Shape how AI transforms construction towards intelligent and autonomous systems.