AI & Analytics Engineer
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Job Description
AI & Analytics Engineer responsible for designing AI solutions for healthcare at Siemens Healthineers. Focus on analytics in cancer treatment and collaboration with clinical teams.
Responsibilities:
- Design and deliver end‑to‑end AI solutions , from problem framing and architecture to deployment, monitoring, and iteration, on our Azure + Databricks medallion platform
- Architect and build LLM‑powered applications , including RAG pipelines, AI agents, structured outputs, and intelligent alerting integrated with LINAC telemetry and fault data
- Develop production‑grade APIs (FastAPI) exposing AI capabilities such as model inference, predictive maintenance scores, and anomaly alerts to clinical dashboards and service tools
- Translate clinical and operational requirements into robust AI system designs, acting as a bridge between domain experts (medical physicists, field engineers) and the engineering team
- Integrate ML models and GenAI components into the ViDA data platform, orchestrating inference pipelines, managing model lifecycle with MLflow , and ensuring reliability at scale
- Build and maintain data pipelines (PySpark, Delta Lake) that provide clean, validated telemetry, dosimetry, and MPC data from the global LINAC fleet
- Own production observability for AI systems, including latency, data drift, and model degradation, driving continuous improvement based on real‑world performance
- Champion AI adoption across internal teams through clear documentation, technical onboarding, and explainable, actionable AI outputs
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field — or equivalent practical experience
- Proven experience building AI systems in production , with real users and real‑world consequences
- Strong Python engineering skills, with an emphasis on clean, testable, and maintainable code
- Deep familiarity with LLMs and GenAI patterns , including RAG, agents, structured outputs, function calling, evaluation, and monitoring
- Hands‑on experience with Azure and modern cloud‑native architectures (containerisation, managed services, event‑driven systems)
- Comfort working across the stack — from data pipelines and APIs to stakeholder presentations
- Excellent communication skills, with the ability to tailor explanations for technical and non‑technical audiences
- A proactive, ownership‑driven mindset — you identify problems early and follow through to resolution
- Based in Spain (or holding valid EU work authorization); English required, Spanish is a plus.
Benefits:
- 100% Remote (Spain) or (United Kingdom) - Work from anywhere in Spain or the UK — no relocation, no office mandate
- Real‑World Impact - Your solutions run inside cancer treatment centers. The work — and the stakes — are real.
- AI‑Native Stack - Databricks, Azure, LLMs — modern tooling without legacy constraints
- Global Scale - A Fortune 500 MedTech organization with colleagues across 30+ countries
- Patented Research - Collaborate on cutting‑edge ML for radiotherapy analytics (US 12,572,623 B2)
- High Autonomy - Small team, big ownership. You lead your solutions end to end.
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