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- Sword Health
- Senior ML Engineer
Senior ML Engineer
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AI Infrastructure
About the Role
Sword Health seeks an experienced machine learning engineer to develop AI solutions powering personalized clinical care. The Applied AI Team builds end-to-end AI treatment management systems handling complete care pathways. The work spans the full AI stack: prompt engineering, RAG implementations, model fine-tuning, and agentic workflows.
Key Responsibilities
- Design, build, evaluate, and ship AI/ML products
- Develop and maintain data processing pipelines for model training and evaluation
- Collaborate with Product, Data & Engineering teams on AI-powered features
- Mentor colleagues and share ML systems expertise
- Define best practices for the AI/ML function
- Identify opportunities to add AI/ML capabilities to products
Required Qualifications
- 4+ years professional ML experience
- Hands-on production ML systems implementation and maintenance
- Proficiency in SQL and Python with production software development experience
- Knowledge of Python data stack (numpy, pandas, matplotlib, scikit-learn)
- Experience leading complex projects from conception through maintenance
- Technical oversight and mentoring capabilities
Desired Qualifications
- Experience shipping applications using LLMs and Generative AI
- Cloud platform experience (GCP or AWS)
- Data pipeline building experience
Benefits
- Salary range: EUR 60,000-80,000
- Remote/hybrid flexibility
- Unlimited vacation
- Equity shares
- Health insurance
- Meal allowance
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