FREENOW
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Hamburg, Berlin
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FactoryPalSenior Machine Learning Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Description
You will drive operational excellence by building scalable ML pipelines and sophisticated models, translating complex data into actionable insights that redefine how modern factories perform.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Bachelor's degree
OR
Master's degree
Work Experience
3 years
Tasks
- •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
Tools & Technologies
PythonpandasNumPyscikit-learnPyTorchAWSSQLAirflowLLMsMLflow
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Competitive salary
More Vacation Days
- •30 days vacation
Startup Environment
- •Central role in corporate start-up
- •Exposure to cutting-edge technologies
- •Access to key decision makers
Other Benefits
- •Shape manufacturing industry innovations
Purpose-Driven Work
- •High impact role
Additional Allowances
- •Dedicated training budget
Learning & Development
- •Dedicated training days
Healthcare & Fitness
- •Subsidized Wellhub membership
Informal Culture
- •International, diverse, high-performance team
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of FactoryPal 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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FA
FactoryPalSenior Machine Learning Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
New Job?Nejo!
The AI Job Search Engine
Description
You will drive operational excellence by building scalable ML pipelines and sophisticated models, translating complex data into actionable insights that redefine how modern factories perform.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Bachelor's degree
OR
Master's degree
Work Experience
3 years
Tasks
- •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
Tools & Technologies
PythonpandasNumPyscikit-learnPyTorchAWSSQLAirflowLLMsMLflow
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Competitive salary
More Vacation Days
- •30 days vacation
Startup Environment
- •Central role in corporate start-up
- •Exposure to cutting-edge technologies
- •Access to key decision makers
Other Benefits
- •Shape manufacturing industry innovations
Purpose-Driven Work
- •High impact role
Additional Allowances
- •Dedicated training budget
Learning & Development
- •Dedicated training days
Healthcare & Fitness
- •Subsidized Wellhub membership
Informal Culture
- •International, diverse, high-performance team
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of FactoryPal 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
FactoryPal
Industry
Manufacturing
Description
The company is poised to become the leading end-to-end IoT solution for machine efficiency and equipment effectiveness.
Not a perfect match?
- FREENOW
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Full-timeWith HomeofficeSeniorBerlin - Smartly
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