AI Solutions Engineer (m/w/d)

Kurz zusammengefasst

The AI Solutions Engineer role at handz.on GmbH involves designing, prototyping and embedding machine‑learning models into the company's cloud‑native SaaS platform. You will work closely with product managers and data scientists to turn business needs into scalable AI services and help customers deploy and fine‑tune these solutions across hybrid on‑premise and cloud environments. Day‑to‑day tasks include building and testing models, creating MLOps pipelines, containerising applications with Docker/Kubernetes, and collaborating on CI/CD processes. The position sits in Munich's vibrant fintech scene and offers a flexible hybrid work model. The role requires at least three years of professional experience with Python, TensorFlow or PyTorch, and container orchestration, plus a solid grasp of MLOps and strong communication skills for non‑technical audiences. Experience with Azure or AWS, CI/CD tools, and a background in computer vision or natural language processing are desirable. What the role asks for: - Minimum 3 years Python experience - TensorFlow or PyTorch proficiency - Docker and Kubernetes experience - Knowledge of MLOps pipelines - Ability to explain technical concepts to non‑technical stakeholders - Experience with Azure or AWS (nice‑to‑have) - CI/CD tooling experience (nice‑to‑have) - Background in computer vision or NLP (nice‑to‑have)