Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Machine Learning Ops Engineer(m/w/x)
Full-timeWith HomeofficeNot specified
Leipzig, Berlin, Düsseldorf, Frankfurt am Main, Hannover, München
New Job?Nejo!
The AI Job Search Engine
DKDKV Mobility
Machine Learning Engineer - AI Insights(m/w/x)
Ratingen
Full-time, Part-timeWith Home OfficeManagement
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
3 years
Education
Master's degree
Languages
English – Business FluentGerman – Basic
Tools & Technologies
PythonSQLAzureSnowflakeTerraformAzure DevOpsDockerKubernetes
Benefits
Flexible Working
- •Flexible working hours
- •Hybrid work model
Family Support
- •Family-friendly working time models
- •Parent-child offices
Startup Environment
- •Dynamic and agile environment
Other Benefits
- •Modern learning environment
Healthcare & Fitness
- •Comprehensive company health management
Company Bike
- •eBike leasing via Jobrad
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DKV Mobility 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.
Not a perfect match?
- Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin, Düsseldorf - DKV Mobility
AI Solution Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeExperiencedRatingen - DKV Mobility
Senior Data Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorRatingen - DKV Mobility
Data Engineer - Finance Data Hub(m/w/x)
Full-time/Part-timeWith HomeofficeExperiencedRatingen
DKDKV Mobility
Machine Learning Engineer - AI Insights(m/w/x)
Ratingen
Full-time, Part-timeWith Home OfficeManagement
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
3 years
Education
Master's degree
Languages
English – Business FluentGerman – Basic
Tools & Technologies
PythonSQLAzureSnowflakeTerraformAzure DevOpsDockerKubernetes
Benefits
Flexible Working
- •Flexible working hours
- •Hybrid work model
Family Support
- •Family-friendly working time models
- •Parent-child offices
Startup Environment
- •Dynamic and agile environment
Other Benefits
- •Modern learning environment
Healthcare & Fitness
- •Comprehensive company health management
Company Bike
- •eBike leasing via Jobrad
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DKV Mobility 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
DKV Mobility
Industry
FinancialServices
Description
The company is part of a leading European B2B platform for on-the-road payment solutions, committed to a sustainable future of mobility.
Not a perfect match?
- Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Machine Learning Ops Engineer(m/w/x)
Full-timeWith HomeofficeNot specifiedLeipzig, Berlin, Düsseldorf, Frankfurt am Main, Hannover, München - Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin, Düsseldorf - DKV Mobility
AI Solution Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeExperiencedRatingen - DKV Mobility
Senior Data Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorRatingen - DKV Mobility
Data Engineer - Finance Data Hub(m/w/x)
Full-time/Part-timeWith HomeofficeExperiencedRatingen