Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop advanced computer vision models for medical image analysis, monitor production models, and integrate ML pipelines into product workflows using modern tools and frameworks.
Job Technologies
Your role in the team
- 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.
- 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.
- Collaborate closely with frontend and backend engineers to integrate AI models smoothly into product 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.
- Work cross-functionally within the AI, product, and business teams, and present your findings effectively to both technical and non-technical stakeholders.
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Our expectations of you
Education
- You hold a Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, or a related field.
Qualifications
- You possess strong programming skills in Python and are highly familiar with scientific computing libraries (NumPy, Pandas, Scikit-learn).
- You are fluent in English and possess excellent communication skills to thrive in a cross-functional environment.
Experience
- You bring 2+ years of hands-on professional experience in machine learning and have a proven track record with modern ML frameworks (PyTorch, TensorFlow).
- You ideally have practical experience in Computer Vision, NLP (Natural Language Processing), Time Series Analysis, or Reinforcement Learning.
- 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.
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What we offer
- 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!
- A monthly budget you can freely use through our benefits app - for gym memberships, wellness, or other activities.
- Attraktives Büro in Top-Lage mit Blick auf die Spree im Herzen von Kreuzberg, Berlin.
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Topics that you deal with on the job
Job Locations
This is your employer
Nia Health GmbH
Nia Health GmbH focuses on digital health solutions, particularly in dermatology and allergology, utilizing modern technologies to enhance patient experience.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Onsite
- Industry
- Healthcare, Social Sector
Machine Learning Engineer
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
