Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Ratingen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop robust AI/ML solutions, operationalize the ML lifecycle including CI/CD pipelines, and build stable MLOps infrastructures for efficient model development and monitoring.
Job Technologies
Your role in the team
- You are the driving force transforming innovative AI/ML concepts from the lab environment into robust, scalable products - ensuring that models seamlessly transition from prototype stage to stable production systems.
- You operationalize the entire ML lifecycle, develop automated CI/CD pipelines, oversee the production rollout of models, and continuously expand our robust MLOps infrastructure.
- You implement algorithms and complex feature transformations efficiently in production systems and optimize them for latency, throughput, and maximum stability.
- You develop scalable data pipelines and feature stores that ensure reliable, consistent data provisioning for training and serving - both online and offline.
- You establish a professional monitoring system with mechanisms such as drift detection, automated retraining, and validation to ensure consistently high model quality in live operation.
- You work closely with Data Scientists, MLOps, and IT infrastructure teams to ensure that all production AI/ML solutions adhere to software engineering best practices, compliance, security, and data protection requirements.
This text has been machine translated. Show original
Our expectations of you
Education
- You hold a master's degree in computer science, software engineering, mathematics, statistics, or a comparable quantitative field.
Qualifications
- You are proficient with CI/CD tools (e.g., Azure DevOps), containerization with Docker/Kubernetes, and confidently apply modern software design patterns.
- You thrive in a dynamic, agile, and innovative environment, working independently while being effective in a team.
- You have excellent spoken and written English skills; German language skills are a plus.
Experience
- You have at least 3 years of professional experience in ML Engineering or MLOps and have successfully built, deployed, and operated productive, tailor-made AI/ML solutions.
- You possess in-depth knowledge of Python and SQL, as well as practical experience with cloud platforms (preferably Azure) and data warehouses such as Snowflake; initial experience with Infrastructure-as-Code, e.g., Terraform, is a plus.
This text has been machine translated. Show original
What we offer
- This position can be filled on a full-time basis or in near-full-time part-time (at least 30 hours/week; excluding working students and explicitly advertised part-time positions*).
- DKV Mobility is looking for the best talents and knows that they are not always available on a full-time basis.
- Many of our employees work part-time or in flexible working models.
- Please discuss with us during the application process the flexibility you require.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Work-Life-Integration
More net
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
DKV Euro Service GmbH + Co KG
As a leading European mobility service provider, we devote ourselves to efficient mobility solutions for controlling commercial fleets. Our portfolio includes smart products and services around refueling, alternative propulsion options, toll handling, liquidity benefits and innovative connected services.
Description
- Founding year
- 1934
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Logistics, Transportation
Machine Learning Engineer - AI Insights
- Location
- Ratingen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
