Cint
Senior Full-Stack Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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ADAdolf Würth GmbH & Co. KG
Senior Machine Learing Engineer on Databricks(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Productionizing ML services for a fastening technology manufacturer, consulting teams on big-data projects. 5 years software engineering with high-level language and Spark Clusters experience required. Company car option.
Requirements
- At least 2 years of experience in Machine Learning Engineering on Databricks
- At least 5 years of experience in Software Engineering with one additional high-level programming language
- Solid understanding of SQL and experience with relational databases (HANA, MS SQL, MySQL)
- Advanced knowledge of Linux and Operating Systems, and experience with Spark Clusters
- Strong problem-solving skills and ability to work independently and in a team
- Good communication and presentation skills in English and basic skills in German
Tasks
- Implement and productionize ML-based services on Databricks using Python, SQL, and Linux
- Consult and enable cross-functional teams to build efficient and scalable big-data and data-science projects
- Take over production responsibility to ensure continuous business value
- Improve standard processes and best practices for services and projects on the platform
- Help reduce costs for services and projects
- Write clean, maintainable, and efficient code following best practices and coding standards
- Perform unit testing and debugging to ensure high-quality software delivery
- Collaborate with adjacent teams on governance, infrastructure, data provisioning, and scheduling
- Work on CI/CD and data engineering topics
- Stay up-to-date with industry trends and technologies to enhance software and service offerings
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Databricks
- SQL
- HANA
- MS SQL
- MySQL
- Linux
- Spark
Benefits
Flexible Working
- Flexible working hours
Bonuses & Incentives
- Performance-based bonus
- Loyalty bonuses
- Employee referral program
Company Vehicle
- Company car option
Other Benefits
- Anniversary gifts
Additional Allowances
- Birth allowances
- Wedding allowances
- Relocation cost reimbursement
More Vacation Days
- 30 days of annual vacation
Modern Equipment
- Company smartphone
- Modern work equipment
Workation & Sabbatical
- Workation
- Sabbatical
Mentorship & Coaching
- Comprehensive onboarding
Learning & Development
- Personalized training program
- Career and development programs
Healthcare & Fitness
- Health and fitness programs
- Health days
- Company sports groups
- Running clubs
- Access to company health insurance
Free or Subsidized Food
- Fresh fruit days
Informal Culture
- Flat hierarchies
- Culture of appreciation
Team Events
- Employee events
Corporate Discounts
- Corporate benefits program
Snacks & Drinks
- Free hot and cold beverages
Company Bike
- Company bike
Public Transport Subsidies
- Public transport subsidy
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Adolf Würth GmbH & Co. KG 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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ADAdolf Würth GmbH & Co. KG
Senior Machine Learing Engineer on Databricks(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Productionizing ML services for a fastening technology manufacturer, consulting teams on big-data projects. 5 years software engineering with high-level language and Spark Clusters experience required. Company car option.
Requirements
- At least 2 years of experience in Machine Learning Engineering on Databricks
- At least 5 years of experience in Software Engineering with one additional high-level programming language
- Solid understanding of SQL and experience with relational databases (HANA, MS SQL, MySQL)
- Advanced knowledge of Linux and Operating Systems, and experience with Spark Clusters
- Strong problem-solving skills and ability to work independently and in a team
- Good communication and presentation skills in English and basic skills in German
Tasks
- Implement and productionize ML-based services on Databricks using Python, SQL, and Linux
- Consult and enable cross-functional teams to build efficient and scalable big-data and data-science projects
- Take over production responsibility to ensure continuous business value
- Improve standard processes and best practices for services and projects on the platform
- Help reduce costs for services and projects
- Write clean, maintainable, and efficient code following best practices and coding standards
- Perform unit testing and debugging to ensure high-quality software delivery
- Collaborate with adjacent teams on governance, infrastructure, data provisioning, and scheduling
- Work on CI/CD and data engineering topics
- Stay up-to-date with industry trends and technologies to enhance software and service offerings
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Databricks
- SQL
- HANA
- MS SQL
- MySQL
- Linux
- Spark
Benefits
Flexible Working
- Flexible working hours
Bonuses & Incentives
- Performance-based bonus
- Loyalty bonuses
- Employee referral program
Company Vehicle
- Company car option
Other Benefits
- Anniversary gifts
Additional Allowances
- Birth allowances
- Wedding allowances
- Relocation cost reimbursement
More Vacation Days
- 30 days of annual vacation
Modern Equipment
- Company smartphone
- Modern work equipment
Workation & Sabbatical
- Workation
- Sabbatical
Mentorship & Coaching
- Comprehensive onboarding
Learning & Development
- Personalized training program
- Career and development programs
Healthcare & Fitness
- Health and fitness programs
- Health days
- Company sports groups
- Running clubs
- Access to company health insurance
Free or Subsidized Food
- Fresh fruit days
Informal Culture
- Flat hierarchies
- Culture of appreciation
Team Events
- Employee events
Corporate Discounts
- Corporate benefits program
Snacks & Drinks
- Free hot and cold beverages
Company Bike
- Company bike
Public Transport Subsidies
- Public transport subsidy
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Adolf Würth GmbH & Co. KG 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
Adolf Würth GmbH & Co. KG
Industry
IT
Description
Das Unternehmen ist ein führender Hersteller von Befestigungstechnik und fördert eine Kultur der Eigenmotivation und Teamgeist.
Not a perfect match?
- Cint
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