Dein persönlicher KI-Karriere-Agent
Staff Machine Learning Engineer(m/w/x)
Designing and deploying ML systems for AI-powered imaging solutions in food sustainability and disease detection. Deep knowledge of PyTorch and distributed training required. Equity shares, up to €5,000 annual benefits, and childcare reimbursement.
Anforderungen
- Deep knowledge of PyTorch and distributed training
- Experience in ML system design
- Experience in optimizing model architectures for efficient inference and training
- History of building and automating complex data pipelines for ML
- Familiarity with tools for ML in production and model deployment
- Strong Python coding skills and expertise in best practices and design patterns
- Experience with version control tools and creating reproducible, containerized environments
- Well versed in CI/CD pipelines
- Experience working with Cloud providers to scale and automate ML workflows
- Proven technical leadership on cross-functional initiatives
- Strategic influence in shaping technical roadmap for products
- High technical judgment and pragmatic decision-making
- Experience with CUDA and GPUs for accelerated computing
- Experience with 3D data and related computational challenges
- Experience with ML in healthcare and data privacy challenges
Aufgaben
- Lead design and implementation of ML systems
- Build and improve code for training ML models
- Collaborate with data scientists to train and fine-tune ML models
- Optimize and troubleshoot production ML code and models
- Deploy and monitor ML models in production
- Grow knowledge of production ML tools and concepts within the team
- Guide the team in adopting best ML engineering practices
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- Python
- CUDA
Benefits
Attraktive Vergütung
- Equity in company shares
Sonstige Zulagen
- Up to €5,000 annual benefits
- €1,750 annual budget for personal growth
Gesundheits- & Fitnessangebote
- Access to Urban Sports Club or Wellpass
Kinderbetreuung
- Childcare reimbursement for Kita/Kindergarten fees
Öffi Tickets
- Full coverage of public transportation
Flexibles Arbeiten
- Flexible hours and home office
Moderne Technikausstattung
- €185 for home office upgrade
Mehr Urlaubstage
- 30 days paid leave
- Personal leave for important moments
Workation & Sabbatical
- Work from anywhere for up to 60 days per year
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Staff Machine Learning Engineer(m/w/x)
Designing and deploying ML systems for AI-powered imaging solutions in food sustainability and disease detection. Deep knowledge of PyTorch and distributed training required. Equity shares, up to €5,000 annual benefits, and childcare reimbursement.
Anforderungen
- Deep knowledge of PyTorch and distributed training
- Experience in ML system design
- Experience in optimizing model architectures for efficient inference and training
- History of building and automating complex data pipelines for ML
- Familiarity with tools for ML in production and model deployment
- Strong Python coding skills and expertise in best practices and design patterns
- Experience with version control tools and creating reproducible, containerized environments
- Well versed in CI/CD pipelines
- Experience working with Cloud providers to scale and automate ML workflows
- Proven technical leadership on cross-functional initiatives
- Strategic influence in shaping technical roadmap for products
- High technical judgment and pragmatic decision-making
- Experience with CUDA and GPUs for accelerated computing
- Experience with 3D data and related computational challenges
- Experience with ML in healthcare and data privacy challenges
Aufgaben
- Lead design and implementation of ML systems
- Build and improve code for training ML models
- Collaborate with data scientists to train and fine-tune ML models
- Optimize and troubleshoot production ML code and models
- Deploy and monitor ML models in production
- Grow knowledge of production ML tools and concepts within the team
- Guide the team in adopting best ML engineering practices
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- Python
- CUDA
Benefits
Attraktive Vergütung
- Equity in company shares
Sonstige Zulagen
- Up to €5,000 annual benefits
- €1,750 annual budget for personal growth
Gesundheits- & Fitnessangebote
- Access to Urban Sports Club or Wellpass
Kinderbetreuung
- Childcare reimbursement for Kita/Kindergarten fees
Öffi Tickets
- Full coverage of public transportation
Flexibles Arbeiten
- Flexible hours and home office
Moderne Technikausstattung
- €185 for home office upgrade
Mehr Urlaubstage
- 30 days paid leave
- Personal leave for important moments
Workation & Sabbatical
- Work from anywhere for up to 60 days per year
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Orbem GmbH
Branche
Healthcare
Beschreibung
The company is an impact-driven deep-tech scaleup focused on developing AI-powered imaging solutions to sustainably feed the world and transform disease detection.
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