Adolf Würth GmbH & Co. KG
Senior Machine Learing Engineer on Databricks(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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CICint
Senior Full-Stack Machine Learning Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- Scikit-learn
- XGBoost
- Databricks
- PySpark
- SQL
- Docker
- Kubernetes
- AWS
- Azure
- GCP
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Cint and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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CICint
Senior Full-Stack Machine Learning Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- Scikit-learn
- XGBoost
- Databricks
- PySpark
- SQL
- Docker
- Kubernetes
- AWS
- Azure
- GCP
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Cint and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Cint
Industry
Research
Description
Cint is a pioneer in research technology, providing a platform for businesses to gather insights from nearly 300 million respondents worldwide.
Not a perfect match?
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