We are looking for a highly skilled Senior AI/ML Engineer (AI Lead) to take ownership of Custom Surgical’s 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 Surgical’s products, ensuring technical excellence while enabling long-term scalability, reliability, and regulatory readiness.TasksOwn 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.RequirementsStrong 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 TensorFlow;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 — you take end‑to‑end responsibility for complex technical problems and drive long‑term improvements;You have a growth mindset and enjoy building systems that evolve over time;You’re proactive and solutions‑oriented — you work 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.BenefitsTime 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;WellPass/Deutschlandticket + JobRad 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. #J-18808-Ljbffr