Prior Labs
ML Engineer, Foundation Model(m/w/x)
Full-timeOn-siteExperienced
Berlin, Freiburg im Breisgau
from 120,000 / year
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NINia Health GmbH
Machine Learning Engineer(m/w/x)
Berlin
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Training computer vision models for medical image analysis using PyTorch. 2+ years ML experience, practical CV skills required. Access to 100+ training courses, lifelong learning culture.
Requirements
- Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, or related field
- 2+ years of professional experience in machine learning
- Practical experience in Computer Vision, NLP, Time Series Analysis, or Reinforcement Learning
- Strong Python programming skills
- Familiarity with scientific computing libraries (NumPy, Pandas, Scikit-learn)
- Solid experience with version control (Git)
- Experience with collaborative development
- Experience with Python packaging and dependency management (Poetry, uv)
- Experience in Docker containerization
- Comfort applying MLOps practices (MLflow, DVC)
- Skilled in data engineering tools (Meltano, Airflow, Metabase)
- Web development skills (FastAPI, Flask, Django)
- Experience developing CI/CD pipelines for ML workflows
- Fluent English communication skills
Tasks
- Design and train computer vision models for medical image analysis
- Evaluate model performance using PyTorch and PyTorch Lightning
- Monitor production models and optimize performance metrics
- Implement retraining strategies to address model drift
- Perform data preprocessing and augmentation
- Collaborate with data annotators and medical advisors
- Maintain organized datasets and model versioning
- Track experiments and automate testing
- Build and maintain scalable ML pipelines and APIs
- Utilize CI/CD pipelines and containerization
- Integrate AI models into product workflows
- Build and maintain ELT pipelines
- Orchestrate workflows and create dashboards
- Ensure high code quality through version control
- Conduct thorough code reviews
- Document models, experiments, and best practices
- Work cross-functionally with AI, product, and business teams
- Present findings to technical and non-technical stakeholders
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Fluent
Tools & Technologies
- PyTorch
- TensorFlow
- Python
- NumPy
- Pandas
- Scikit-learn
- Git
- Poetry
- uv
- Docker
- MLflow
- DVC
- Meltano
- Airflow
- Metabase
- FastAPI
- Flask
- Django
Benefits
Learning & Development
- Steep learning curve
- Lifelong learning culture
- Access to 100+ training courses
Career Advancement
- Continuous feedback
Mentorship & Coaching
- Independent development
Purpose-Driven Work
- Work with real impact
Healthcare & Fitness
- Monthly budget for gym, wellness, or other activities
Modern Office
- Attractive office in prime location
Other Benefits
- River Spree view
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nia Health GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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NINia Health GmbH
Machine Learning Engineer(m/w/x)
Berlin
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Training computer vision models for medical image analysis using PyTorch. 2+ years ML experience, practical CV skills required. Access to 100+ training courses, lifelong learning culture.
Requirements
- Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, or related field
- 2+ years of professional experience in machine learning
- Practical experience in Computer Vision, NLP, Time Series Analysis, or Reinforcement Learning
- Strong Python programming skills
- Familiarity with scientific computing libraries (NumPy, Pandas, Scikit-learn)
- Solid experience with version control (Git)
- Experience with collaborative development
- Experience with Python packaging and dependency management (Poetry, uv)
- Experience in Docker containerization
- Comfort applying MLOps practices (MLflow, DVC)
- Skilled in data engineering tools (Meltano, Airflow, Metabase)
- Web development skills (FastAPI, Flask, Django)
- Experience developing CI/CD pipelines for ML workflows
- Fluent English communication skills
Tasks
- Design and train computer vision models for medical image analysis
- Evaluate model performance using PyTorch and PyTorch Lightning
- Monitor production models and optimize performance metrics
- Implement retraining strategies to address model drift
- Perform data preprocessing and augmentation
- Collaborate with data annotators and medical advisors
- Maintain organized datasets and model versioning
- Track experiments and automate testing
- Build and maintain scalable ML pipelines and APIs
- Utilize CI/CD pipelines and containerization
- Integrate AI models into product workflows
- Build and maintain ELT pipelines
- Orchestrate workflows and create dashboards
- Ensure high code quality through version control
- Conduct thorough code reviews
- Document models, experiments, and best practices
- Work cross-functionally with AI, product, and business teams
- Present findings to technical and non-technical stakeholders
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Fluent
Tools & Technologies
- PyTorch
- TensorFlow
- Python
- NumPy
- Pandas
- Scikit-learn
- Git
- Poetry
- uv
- Docker
- MLflow
- DVC
- Meltano
- Airflow
- Metabase
- FastAPI
- Flask
- Django
Benefits
Learning & Development
- Steep learning curve
- Lifelong learning culture
- Access to 100+ training courses
Career Advancement
- Continuous feedback
Mentorship & Coaching
- Independent development
Purpose-Driven Work
- Work with real impact
Healthcare & Fitness
- Monthly budget for gym, wellness, or other activities
Modern Office
- Attractive office in prime location
Other Benefits
- River Spree view
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nia Health GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Nia Health GmbH
Industry
Healthcare
Description
Das Unternehmen entwickelt und vermarktet medizinische Software auf Basis innovativer KI-Technologien zur Unterstützung von Menschen mit chronischen Erkrankungen.
Not a perfect match?
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