Senior ML Engineer

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Sword Health

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€60K - €80K/yr

AI Infrastructure

Tech Stack

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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