Job
- Level
- Erfahren
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position entwickelst du fortschrittliche Computer Vision Modelle zur medizinischen Bildanalyse, überwachst Produktionsmodelle und integrierst ML-Pipelines in Produktworkflows unter Verwendung moderner Tools und Frameworks.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- You hold a Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, or a related field.
Qualifikationen
- 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.
Erfahrung
- 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.
Unser Angebot
- 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.
- Attractive office in a prime location overlooking the river Spree in the heart of Kreuzberg, Berlin.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Nia Health GmbH
Nia Health GmbH fokussiert sich auf digitale Gesundheitslösungen, insbesondere in der Dermatologie und Allergologie, und nutzt moderne Technologien zur Verbesserung der Patientenerfahrung.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Onsite
- Branche
- Gesundheitswesen, Soziales
Machine Learning Engineer
- Ort
- Berlin
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
