Adolf Würth GmbH & Co. KG
Senior Machine Learing Engineer on Databricks(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
Neuer Job?Nejo!
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CICint
Senior Full-Stack Machine Learning Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing and deploying production-grade machine learning models and Databricks data pipelines at research technology platform with 300M+ respondents. Experience with Databricks and Data Lake architectures essential. Full model lifecycle ownership, deep exploratory data analysis.
Anforderungen
- Degree in Computer Science, Mathematics, or related field
- Strong foundation in algorithms and data structures
- Experience building and deploying ML models
- Familiarity with PyTorch, Scikit-learn, or XGBoost
- Experience with Databricks and Data Lake architectures
- Proficiency in PySpark and SQL
- Ability to write production-ready code
- Comfort with Docker, Kubernetes, and cloud infrastructure
- Based in or willing to relocate to Berlin
- Fluent English and technical communication skills
Aufgaben
- Design and deploy production-grade ML models
- Own the full feature engineering cycle
- Monitor model performance in production
- Build robust Databricks data pipelines
- Perform deep exploratory data analysis
- Uncover patterns and anomalies in datasets
- Execute rigorous A/B and multivariate tests
- Calculate statistical significance and confidence intervals
- Translate business questions into measurable metrics
- Forecast trends using predictive modeling
- Create high-quality visualizations and dashboards
- Communicate data stories to leadership
- Collaborate with Product Managers on KPIs
- Apply software engineering best practices
- Conduct unit testing and code reviews
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- Scikit-learn
- XGBoost
- Databricks
- PySpark
- SQL
- Docker
- Kubernetes
- AWS
- Azure
- GCP
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Cint 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?
- Clue
(Senior) ML Engineer(m/w/x)
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Senior Ai Engineer (full-stack)(m/w/x)
VollzeitRemoteSeniorBerlin - Axel Springer News Media National
Senior Software Engineer - Machine Learning(m/w/x)
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Senior Full Stack Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin
CICint
Senior Full-Stack Machine Learning Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing and deploying production-grade machine learning models and Databricks data pipelines at research technology platform with 300M+ respondents. Experience with Databricks and Data Lake architectures essential. Full model lifecycle ownership, deep exploratory data analysis.
Anforderungen
- Degree in Computer Science, Mathematics, or related field
- Strong foundation in algorithms and data structures
- Experience building and deploying ML models
- Familiarity with PyTorch, Scikit-learn, or XGBoost
- Experience with Databricks and Data Lake architectures
- Proficiency in PySpark and SQL
- Ability to write production-ready code
- Comfort with Docker, Kubernetes, and cloud infrastructure
- Based in or willing to relocate to Berlin
- Fluent English and technical communication skills
Aufgaben
- Design and deploy production-grade ML models
- Own the full feature engineering cycle
- Monitor model performance in production
- Build robust Databricks data pipelines
- Perform deep exploratory data analysis
- Uncover patterns and anomalies in datasets
- Execute rigorous A/B and multivariate tests
- Calculate statistical significance and confidence intervals
- Translate business questions into measurable metrics
- Forecast trends using predictive modeling
- Create high-quality visualizations and dashboards
- Communicate data stories to leadership
- Collaborate with Product Managers on KPIs
- Apply software engineering best practices
- Conduct unit testing and code reviews
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- Scikit-learn
- XGBoost
- Databricks
- PySpark
- SQL
- Docker
- Kubernetes
- AWS
- Azure
- GCP
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Cint 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
Cint
Branche
Research
Beschreibung
Cint is a pioneer in research technology, providing a platform for businesses to gather insights from nearly 300 million respondents worldwide.
Noch nicht perfekt?
- Adolf Würth GmbH & Co. KG
Senior Machine Learing Engineer on Databricks(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Clue
(Senior) ML Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - CHAPTR GmbH
Senior Ai Engineer (full-stack)(m/w/x)
VollzeitRemoteSeniorBerlin - Axel Springer News Media National
Senior Software Engineer - Machine Learning(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorBerlin - thermondo
Senior Full Stack Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin