Senior AIML Engineer; AI Lead

We are looking for a highly skilled Senior AI/ML Engineer (AI Lead) to take ownership of Custom Surgicals AI technical direction and help translate real-world clinical data into robust scalable AI systems.

This role combines hands-on technical leadership with strong product and system thinking. You will design, build, and guide AI/ML solutions across computer vision multimodal models and emerging AI capabilities, working closely with Engineering, Product, and clinical stakeholders.

You will play a key role in shaping how AI is applied across Custom Surgicals products, ensuring technical excellence while enabling long‑term scalability, reliability, and regulatory readiness.

• Own and drive the technical direction of AI/ML development across Custom Surgical;
• Design, implement, and maintain computer vision and multimodal ML systems for real‑world clinical data;
• Lead model development from experimentation to production, ensuring robustness, performance, and scalability
  ;
• Define best practices for training pipelines, evaluation, deployment, and monitoring of ML models;
• Collaborate closely with Product and Engineering to align AI capabilities with real user workflows;
• Mentor and support junior and mid‑level AI/ML engineers through reviews, guidance, and technical leadership;
• Contribute to architectural decisions around data pipelines, model lifecycle, and infrastructure
  ;
• Ensure AI systems are built with quality, safety, and regulatory constraints in mind;
• Stay up to date with advances in AI/ML and assess their relevance for real‑world medical applications.

• Strong experience as an AI/ML Engineer working on production‑grade systems;
• Solid background in computer vision and deep learning
  ;
• Hands‑on experience with PyTorch or Tensor Flow
  ;
• Strong proficiency in Python and ML experimentation workflows;
• Experience taking ML models from research to production environments
  ;
• Ability to design and reason about end‑to‑end ML systems not just individual models;
• Experience collaborating with software engineers and product teams;
• Fluency in English (spoken and written);
• Based in Munich or willing to relocate (on‑site collaboration required).

Nice to have (but not required):

• Experience with LLMs or multimodal AI systems
  ;
• Background in medical imaging, healthcare, or regulated environments
  ;
• Experience with cloud‑based ML infrastructure (e.g., GCP, AWS);
• Prior experience in a technical leadership or mentoring role
  ;
• Familiarity with data annotation workflows or weak supervision techniques.

What we expect from Custom Surgical Candidates:

• You are an owner who takes end‑to‑end responsibility for complex technical problems and drives long‑term improvements;
• You have a growth mindset and enjoy building systems that evolve over time;
• You are proactive and solutions‑oriented
  , working across teams to unblock progress and deliver outcomes when it matters;
• You are open, sincere, and comfortable giving and receiving frequent feedback
  ;
• You thrive in an international, young, and flexible company
  ;
• You communicate clearly with both technical and non‑technical stakeholders;
• You enjoy mentoring others and raising the technical bar of the team.

• Time flexibility and trust‑based working culture;
• Home office when needed with on‑site collaboration in Munich;
• No unnecessary bureaucracy
  , high autonomy to shape AI architecture and priorities;
• Well Pass
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  Deutschlandticket
  Job Rad bike leasing with insurance;
• Direct impact on products used daily by clinicians worldwide;
• The opportunity to define how AI is responsibly deployed in a regulated medical domain.