Die KI-Suchmaschine für Jobs
Senior Full-Stack Machine Learning Engineer(m/w/x)
Beschreibung
In this hybrid role, you will bridge the gap between data science and engineering by building robust ML pipelines while using statistical insights to shape the product roadmap.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
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
Ausbildung
Berufserfahrung
3 Jahre
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
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
- Adolf Würth GmbH & Co. KGVollzeitmit HomeofficeSeniorBerlin
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Senior Full-Stack Machine Learning Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
In this hybrid role, you will bridge the gap between data science and engineering by building robust ML pipelines while using statistical insights to shape the product roadmap.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
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
Ausbildung
Berufserfahrung
3 Jahre
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
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
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.
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