FactoryPal
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
PAPayPal
Sr Machine Learning Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- TensorFlow
- PyTorch
- scikit-learn
- AWS
- Azure
- GCP
- Python
- Hadoop
- Spark
- SQL
Benefits
Mehr Urlaubstage
- Generous paid time off
Gesundheits- & Fitnessangebote
- Healthcare coverage for you and your family
Sonstige Vorteile
- Financial security resources
Mentale Gesundheitsförderung
- Mental health support
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens PayPal erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Super.AI
Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - Veeva Systems
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - AUTO1 Group
Senior Machine Learning Platform/Ops Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - RepRisk AG
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin
PAPayPal
Sr Machine Learning Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- TensorFlow
- PyTorch
- scikit-learn
- AWS
- Azure
- GCP
- Python
- Hadoop
- Spark
- SQL
Benefits
Mehr Urlaubstage
- Generous paid time off
Gesundheits- & Fitnessangebote
- Healthcare coverage for you and your family
Sonstige Vorteile
- Financial security resources
Mentale Gesundheitsförderung
- Mental health support
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens PayPal erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
PayPal
Branche
FinancialServices
Beschreibung
The company has been revolutionizing commerce globally for over 25 years, providing innovative payment solutions for consumers and businesses.
Noch nicht perfekt?
- FactoryPal
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Super.AI
Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - Veeva Systems
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - AUTO1 Group
Senior Machine Learning Platform/Ops Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - RepRisk AG
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin