Cint
Senior Full-Stack Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
CLClue
(Senior) ML Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building and maintaining science-based ML models from health data for women's health insights at a health tech platform. Research experience with health-related data and advanced quantitative degree required. 27+ days paid time off, Urban Sports Club membership, dedicated development budget.
Anforderungen
- Advanced degree in relevant quantitative field
- Scientific reasoning in ML model design
- Research experience with health-related data
- Experience applying ML in production
- Strong grounding in statistical methods
- Hands-on experience with ML Ops
- Experience with cloud-based infrastructure
- Clear communication of technical concepts
- Experience in regulated environments
- Deep scientific and applied ML experience
Aufgaben
- Design and maintain science-based machine learning models
- Apply scientific reasoning to model design and validation
- Build robust models using health-related data and biometric signals
- Translate research insights into production-ready ML systems
- Manage the end-to-end machine learning lifecycle
- Define and evolve reliable ML operational practices
- Ensure high-quality data inputs and evaluation pipelines
- Integrate health-specific models with other AI components
- Operate ML systems according to privacy and regulatory standards
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Machine Learning
- ML Ops
- AWS
- Cloud-based infrastructure
Benefits
Mehr Urlaubstage
- 27+ days paid time off
Gesundheits- & Fitnessangebote
- Urban Sports Club membership
Weiterbildungsangebote
- Professional and personal development
Sonstige Zulagen
- Dedicated development budget
Modernes Büro
- Vibrant Berlin office
Flexibles Arbeiten
- Hybrid work model
- Flexible work from home
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Clue erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Noch nicht perfekt?
- Scout24
Senior MLOps / LLMOps Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - FactoryPal
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - ZDF Sparks GmbH
Senior AI Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Thryve
Senior Data Engineer (Product-focused)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin
CLClue
(Senior) ML Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building and maintaining science-based ML models from health data for women's health insights at a health tech platform. Research experience with health-related data and advanced quantitative degree required. 27+ days paid time off, Urban Sports Club membership, dedicated development budget.
Anforderungen
- Advanced degree in relevant quantitative field
- Scientific reasoning in ML model design
- Research experience with health-related data
- Experience applying ML in production
- Strong grounding in statistical methods
- Hands-on experience with ML Ops
- Experience with cloud-based infrastructure
- Clear communication of technical concepts
- Experience in regulated environments
- Deep scientific and applied ML experience
Aufgaben
- Design and maintain science-based machine learning models
- Apply scientific reasoning to model design and validation
- Build robust models using health-related data and biometric signals
- Translate research insights into production-ready ML systems
- Manage the end-to-end machine learning lifecycle
- Define and evolve reliable ML operational practices
- Ensure high-quality data inputs and evaluation pipelines
- Integrate health-specific models with other AI components
- Operate ML systems according to privacy and regulatory standards
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Machine Learning
- ML Ops
- AWS
- Cloud-based infrastructure
Benefits
Mehr Urlaubstage
- 27+ days paid time off
Gesundheits- & Fitnessangebote
- Urban Sports Club membership
Weiterbildungsangebote
- Professional and personal development
Sonstige Zulagen
- Dedicated development budget
Modernes Büro
- Vibrant Berlin office
Flexibles Arbeiten
- Hybrid work model
- Flexible work from home
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Clue erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Clue
Branche
Science
Beschreibung
The company empowers women and people with cycles to make informed decisions about their health.
Noch nicht perfekt?
- Cint
Senior Full-Stack Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Scout24
Senior MLOps / LLMOps Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - FactoryPal
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - ZDF Sparks GmbH
Senior AI Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Thryve
Senior Data Engineer (Product-focused)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin