Your personal AI career agent
Sr Machine Learning Engineer(m/w/x)
Building scalable ML pipelines and implementing algorithms for global commerce solutions. Several years designing, implementing, and deploying ML models required. Generous PTO, family healthcare coverage, financial security resources.
Requirements
- 3+ years relevant experience or equivalent education/experience
- Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Several years designing, implementing, deploying ML models
- Support oversight of statistical model and AI applications
- Conduct quantitative/qualitative model validation
- Collaborate to remediate model issues
- Perform AI risk governance activities
- Curiosity to learn advanced modeling/AI methods
- Capability building stakeholder relationships
- Excellent communication, writing, presentation skills
- Advanced degree in quantitative field (statistics, math, CS, engineering)
- Advanced knowledge of statistical/ML models
- Advanced coding skills for big data (Python, TensorFlow, Hadoop, Spark, SQL)
- Relevant modeling experience (credit scoring, fraud, forecasting, marketing)
- Ability to work independently and in a team
- Ability to communicate effectively with stakeholders
Tasks
- Design and develop machine learning models
- Implement algorithms to solve complex problems
- Work with data scientists and engineers
- Enhance services with AI/ML solutions
- Build scalable ML pipelines
- Ensure data quality
- Deploy models into production
- Drive business insights and customer experiences
- Optimize machine learning models
- Preprocess and analyze large datasets
- Extract meaningful insights
- Deploy ML solutions using tools and frameworks
- Integrate ML models into products
- Monitor deployed model performance
- Evaluate model effectiveness
- Support team lead in oversight
- Perform high-impact statistical model oversight
- Conduct model validation
- Identify and understand model risks
- Collaborate with business units
- Remediate model issues
- Provide expert opinion on model improvements
- Perform model and AI risk governance
- Ensure compliance with regulatory expectations
- Adhere to Responsible AI practices
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- TensorFlow
- PyTorch
- scikit-learn
- AWS
- Azure
- GCP
- Python
- Hadoop
- Spark
- SQL
Benefits
More Vacation Days
- Generous paid time off
Healthcare & Fitness
- Healthcare coverage for you and your family
Other Benefits
- Financial security resources
Mental Health Support
- Mental health support
Not a perfect match?
- FactoryPalFull-timeWith HomeofficeSeniorBerlin
- Super.AI
Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - Veeva Systems
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - RepRisk AG
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - AUTO1 Group
Senior Machine Learning Platform/Ops Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin
Sr Machine Learning Engineer(m/w/x)
Building scalable ML pipelines and implementing algorithms for global commerce solutions. Several years designing, implementing, and deploying ML models required. Generous PTO, family healthcare coverage, financial security resources.
Requirements
- 3+ years relevant experience or equivalent education/experience
- Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Several years designing, implementing, deploying ML models
- Support oversight of statistical model and AI applications
- Conduct quantitative/qualitative model validation
- Collaborate to remediate model issues
- Perform AI risk governance activities
- Curiosity to learn advanced modeling/AI methods
- Capability building stakeholder relationships
- Excellent communication, writing, presentation skills
- Advanced degree in quantitative field (statistics, math, CS, engineering)
- Advanced knowledge of statistical/ML models
- Advanced coding skills for big data (Python, TensorFlow, Hadoop, Spark, SQL)
- Relevant modeling experience (credit scoring, fraud, forecasting, marketing)
- Ability to work independently and in a team
- Ability to communicate effectively with stakeholders
Tasks
- Design and develop machine learning models
- Implement algorithms to solve complex problems
- Work with data scientists and engineers
- Enhance services with AI/ML solutions
- Build scalable ML pipelines
- Ensure data quality
- Deploy models into production
- Drive business insights and customer experiences
- Optimize machine learning models
- Preprocess and analyze large datasets
- Extract meaningful insights
- Deploy ML solutions using tools and frameworks
- Integrate ML models into products
- Monitor deployed model performance
- Evaluate model effectiveness
- Support team lead in oversight
- Perform high-impact statistical model oversight
- Conduct model validation
- Identify and understand model risks
- Collaborate with business units
- Remediate model issues
- Provide expert opinion on model improvements
- Perform model and AI risk governance
- Ensure compliance with regulatory expectations
- Adhere to Responsible AI practices
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- TensorFlow
- PyTorch
- scikit-learn
- AWS
- Azure
- GCP
- Python
- Hadoop
- Spark
- SQL
Benefits
More Vacation Days
- Generous paid time off
Healthcare & Fitness
- Healthcare coverage for you and your family
Other Benefits
- Financial security resources
Mental Health Support
- Mental health support
About the Company
PayPal
Industry
FinancialServices
Description
The company has been revolutionizing commerce globally for over 25 years, providing innovative payment solutions for consumers and businesses.
Not a perfect match?
- FactoryPal
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Super.AI
Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - Veeva Systems
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - RepRisk AG
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - AUTO1 Group
Senior Machine Learning Platform/Ops Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin