Machine Learning Engineer (f/m/d)

Das ist der Job

Collaborate closely with frontend and backend engineers to integrate AI models smoothly into product workflows.

Darum lohnt es sich

This role is ideal for you if you combine a strong technical background in machine learning with hands‑off software engineering experience, and are eager to create real impact in a fast-growing health tech startup – working closely with our cross‑functional AI, product, and business teams.

Work cross-functionally within the AI, product, and business teams, and present your findings effectively to both technical and non-technical stakeholders. You bring 2+ years of hands‑on professional experience in machine learning and have a proven track record with modern ML frameworks (PyTorch, TensorFlow).

A monthly budget you can freely use through our benefits app – for gym memberships, wellness, or other activities. Description We are looking to hire an ambitious and highly analytical Machine Learning Engineer (f/m/d) based in Berlin.

In this role, you will drive our AI initiatives by designing, deploying, and maintaining advanced computer vision models for medical image analysis. Your mission Design, train, and evaluate computer vision models for medical image analysis using PyTorch and PyTorch Lightning.

Monitor production models, optimize performance metrics, and proactively implement retraining strategies to address model drift. Perform data preprocessing, augmentation, and quality control in close collaboration with data annotators and medical advisors.

Systematically maintain organized datasets, model versioning (FiftyOne, DVC), experiment tracking (MLflow), and automated testing. Build and maintain scalable ML pipelines and APIs (FastAPI/Flask) utilizing CI/CD pipelines, containerization (Docker), and MLOps practices for automated workflows.

Build and maintain ELT pipelines (Meltano), orchestrate workflows (Airflow), and create dashboards and visualizations (Metabase) for actionable model insights and business metrics. Ensure high code quality through version control (Git), thorough code reviews, and comprehensive documentation of models, experiments, and best practices.

Your profile You hold a Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, or a related field. You ideally have practical experience in Computer Vision, NLP (Natural Language Processing), Time Series Analysis, or Reinforcement Learning.

You possess strong programming skills in Python and are highly familiar with scientific computing libraries (NumPy, Pandas, Scikit-learn). You have solid experience with version control (Git), collaborative development, and Python packaging and dependency management (Poetry, uv).

You are experienced in Docker containerization, comfortable applying MLOps practices (MLflow, DVC), and skilled in data engineering tools (Meltano, Airflow, Metabase). You bring web development skills (FastAPI, Flask, Django) for building robust ML APIs and have experience developing CI/CD pipelines for ML workflows.

You are fluent in English and possess excellent communication skills to thrive in a cross‑functional environment. We invest in you. We offer a steep learning curve and the opportunity to grow through continuous feedback and a culture of lifelong learning. We partner with adesso to provide access to a selection of over 100 training courses.

At the same time, we give you the freedom to develop independently. Your energy and expertise will be directed toward improving the lives of people with chronic conditions. With us, you will work on something with real impact! Attractive office in a prime location overlooking the river Spree in the heart of Kreuzberg, Berlin. #J-18808-Ljbffr