FREENOW
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSenior
Hamburg, Berlin
Neuer Job?Nejo!
Die KI-Suchmaschine für Jobs
FAFactoryPal
Senior Machine Learning Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Engineering ML pipelines for industrial IoT solutions, processing real-time data to optimize machine efficiency. Experience scaling data pipelines and cloud technologies essential. 30 days vacation, central role in corporate start-up.
Anforderungen
- Bachelor's degree in STEM or related field
- 3+ years Machine Learning or Software Engineering experience
- 4+ years Python and data science libraries experience
- 3+ years experience scaling data pipelines
- 3+ years experience with cloud technologies
- 2+ years experience with SQL
- Experience integrating AI coding assistants and workflows
- Master’s degree in STEM or related field
- Experience with orchestration tools like Airflow
- Experience with real-time data stream processing
- Experience with AI Engineering and LLMs
- Experience with ML lifecycle management tools
- Experience in manufacturing or IIoT
Aufgaben
- Develop and deploy sophisticated machine learning models
- Engineer and maintain robust, scalable ML pipelines
- Process real-time and batch data
- Manage the end-to-end ML lifecycle
- Apply MLOps principles for monitoring and deployment
- Implement CI/CD and Infrastructure-as-Code practices
- Conduct statistical analysis and data exploration
- Extract actionable insights from complex data
- Communicate technical results to diverse stakeholders
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- pandas
- NumPy
- scikit-learn
- PyTorch
- AWS
- SQL
- Airflow
- LLMs
- MLflow
Benefits
Attraktive Vergütung
- Competitive salary
Mehr Urlaubstage
- 30 days vacation
Startup-Atmosphäre
- Central role in corporate start-up
- Exposure to cutting-edge technologies
- Access to key decision makers
Sonstige Vorteile
- Shape manufacturing industry innovations
Sinnstiftende Arbeit
- High impact role
Sonstige Zulagen
- Dedicated training budget
Weiterbildungsangebote
- Dedicated training days
Gesundheits- & Fitnessangebote
- Subsidized Wellhub membership
Lockere Unternehmenskultur
- International, diverse, high-performance team
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens FactoryPal 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.
Noch nicht perfekt?
- AUTO1 Group
Senior Machine Learning Platform/Ops Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Cint
Senior Full-Stack Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Adolf Würth GmbH & Co. KG
Senior Machine Learing Engineer on Databricks(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Smartly
Senior Machine Learning Engineer - AI Platform(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin
FAFactoryPal
Senior Machine Learning Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Engineering ML pipelines for industrial IoT solutions, processing real-time data to optimize machine efficiency. Experience scaling data pipelines and cloud technologies essential. 30 days vacation, central role in corporate start-up.
Anforderungen
- Bachelor's degree in STEM or related field
- 3+ years Machine Learning or Software Engineering experience
- 4+ years Python and data science libraries experience
- 3+ years experience scaling data pipelines
- 3+ years experience with cloud technologies
- 2+ years experience with SQL
- Experience integrating AI coding assistants and workflows
- Master’s degree in STEM or related field
- Experience with orchestration tools like Airflow
- Experience with real-time data stream processing
- Experience with AI Engineering and LLMs
- Experience with ML lifecycle management tools
- Experience in manufacturing or IIoT
Aufgaben
- Develop and deploy sophisticated machine learning models
- Engineer and maintain robust, scalable ML pipelines
- Process real-time and batch data
- Manage the end-to-end ML lifecycle
- Apply MLOps principles for monitoring and deployment
- Implement CI/CD and Infrastructure-as-Code practices
- Conduct statistical analysis and data exploration
- Extract actionable insights from complex data
- Communicate technical results to diverse stakeholders
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- pandas
- NumPy
- scikit-learn
- PyTorch
- AWS
- SQL
- Airflow
- LLMs
- MLflow
Benefits
Attraktive Vergütung
- Competitive salary
Mehr Urlaubstage
- 30 days vacation
Startup-Atmosphäre
- Central role in corporate start-up
- Exposure to cutting-edge technologies
- Access to key decision makers
Sonstige Vorteile
- Shape manufacturing industry innovations
Sinnstiftende Arbeit
- High impact role
Sonstige Zulagen
- Dedicated training budget
Weiterbildungsangebote
- Dedicated training days
Gesundheits- & Fitnessangebote
- Subsidized Wellhub membership
Lockere Unternehmenskultur
- International, diverse, high-performance team
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens FactoryPal 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.
Über das Unternehmen
FactoryPal
Branche
Manufacturing
Beschreibung
The company is poised to become the leading end-to-end IoT solution for machine efficiency and equipment effectiveness.
Noch nicht perfekt?
- FREENOW
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorHamburg, Berlin - AUTO1 Group
Senior Machine Learning Platform/Ops Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Cint
Senior Full-Stack Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Adolf Würth GmbH & Co. KG
Senior Machine Learing Engineer on Databricks(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Smartly
Senior Machine Learning Engineer - AI Platform(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin