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Machine Learning Engineer - AI Insights(m/w/x)
Operationalizing ML lifecycles and CI/CD pipelines for B2B payment solutions at mobility platform with 300,000+ customers. Deep expertise in Python, SQL, and Snowflake data warehouses required. Flexible working hours and family-friendly time models.
Anforderungen
- Master's degree in quantitative field
- 3 years ML Engineering experience
- Deep expertise in Python and SQL
- Hands-on cloud platform experience, ideally Azure
- Familiarity with Snowflake data warehouses
- Knowledge of Terraform is a plus
- Proficiency with CI/CD tools
- Experience with Docker and Kubernetes
- Confidence in modern software design
- Ability to thrive in agile environments
- Independent and team-oriented work skills
- Excellent English communication skills
- German language skills are a plus
Aufgaben
- Transform AI/ML concepts into scalable products
- Evolve prototypes into production-ready systems
- Operationalize the entire ML lifecycle
- Develop automated CI/CD pipelines
- Deploy models into production environments
- Expand resilient MLOps infrastructure
- Implement algorithms in production systems
- Execute complex feature transformations
- Optimize systems for latency and throughput
- Build scalable data pipelines
- Develop online and offline feature stores
- Establish drift detection and monitoring
- Automate retraining and validation processes
- Guarantee long-term model quality
- Collaborate with Data Science and IT teams
- Apply software engineering best practices
- Ensure security and regulatory compliance
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- SQL
- Azure
- Snowflake
- Terraform
- Azure DevOps
- Docker
- Kubernetes
Benefits
Flexibles Arbeiten
- Flexible working hours
- Hybrid work model
Familienfreundlichkeit
- Family-friendly working time models
- Parent-child offices
Startup-Atmosphäre
- Dynamic and agile environment
Sonstige Vorteile
- Modern learning environment
Gesundheits- & Fitnessangebote
- Comprehensive company health management
Firmenfahrrad
- eBike leasing via Jobrad
Noch nicht perfekt?
- DKV MobilityVollzeit/Teilzeitmit HomeofficeBerufserfahrenRatingen
- Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Machine Learning Ops Engineer(m/w/x)
Vollzeitmit HomeofficeKeine AngabeLeipzig, Berlin, Düsseldorf, Frankfurt am Main, Hannover, München - DKV Mobility
AI Solution Engineer(m/w/x)
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Data Scientist - AI Lab(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenRatingen - DKV Mobility
Senior Data Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorRatingen
Machine Learning Engineer - AI Insights(m/w/x)
Operationalizing ML lifecycles and CI/CD pipelines for B2B payment solutions at mobility platform with 300,000+ customers. Deep expertise in Python, SQL, and Snowflake data warehouses required. Flexible working hours and family-friendly time models.
Anforderungen
- Master's degree in quantitative field
- 3 years ML Engineering experience
- Deep expertise in Python and SQL
- Hands-on cloud platform experience, ideally Azure
- Familiarity with Snowflake data warehouses
- Knowledge of Terraform is a plus
- Proficiency with CI/CD tools
- Experience with Docker and Kubernetes
- Confidence in modern software design
- Ability to thrive in agile environments
- Independent and team-oriented work skills
- Excellent English communication skills
- German language skills are a plus
Aufgaben
- Transform AI/ML concepts into scalable products
- Evolve prototypes into production-ready systems
- Operationalize the entire ML lifecycle
- Develop automated CI/CD pipelines
- Deploy models into production environments
- Expand resilient MLOps infrastructure
- Implement algorithms in production systems
- Execute complex feature transformations
- Optimize systems for latency and throughput
- Build scalable data pipelines
- Develop online and offline feature stores
- Establish drift detection and monitoring
- Automate retraining and validation processes
- Guarantee long-term model quality
- Collaborate with Data Science and IT teams
- Apply software engineering best practices
- Ensure security and regulatory compliance
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- SQL
- Azure
- Snowflake
- Terraform
- Azure DevOps
- Docker
- Kubernetes
Benefits
Flexibles Arbeiten
- Flexible working hours
- Hybrid work model
Familienfreundlichkeit
- Family-friendly working time models
- Parent-child offices
Startup-Atmosphäre
- Dynamic and agile environment
Sonstige Vorteile
- Modern learning environment
Gesundheits- & Fitnessangebote
- Comprehensive company health management
Firmenfahrrad
- eBike leasing via Jobrad
Über das Unternehmen
DKV Mobility
Branche
FinancialServices
Beschreibung
The company is part of a leading European B2B platform for on-the-road payment solutions, committed to a sustainable future of mobility.
Noch nicht perfekt?
- DKV Mobility
Data Scientist - AI Insights(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenRatingen - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Machine Learning Ops Engineer(m/w/x)
Vollzeitmit HomeofficeKeine AngabeLeipzig, Berlin, Düsseldorf, Frankfurt am Main, Hannover, München - DKV Mobility
AI Solution Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenRatingen - DKV Mobility
Data Scientist - AI Lab(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenRatingen - DKV Mobility
Senior Data Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorRatingen