Machine Learning Engineer - AI Insights; gn ; hybrid

Machine Learning Engineer - AI Insights (gn) full-/part-time (hybrid)

Your job at DKV Mobility? As part of a leading European B2B platform for on‑the‑road payment solutions, you will work in an exciting environment. Our tasks are defined by our

Purpose:

To drive the transition towards an efficient and sustainable future of mobility. We offer you numerous opportunities to help shape the mobility of tomorrow in a dynamic and agile environment. Our approximately 2,700 employees throughout Europe are united by a common passion: to give their best every day for our customers in more than 50 countries. True to our claim:
You drive, we care. Become part of our diverse, dedicated and unique team!

Do you want to play an active role in driving a company’s growth and turning big plans into reality? Then join our team! You can look forward to exciting challenges, an inspiring environment, and a work culture that combines flexibility and collaboration – with our 60/40 hybrid model and modern offices in Ratingen as a hub for ideas. As part of our team, you will take on the following responsibilities:

• You are the driving force that transforms innovative AI/ML concepts from the lab environment into robust, scalable products — ensuring prototypes evolve into stable, production‑ready systems.
• You operationalize the entire ML lifecycle, developing automated CI/CD pipelines, taking ownership of deploying models into production, and continuously expanding our resilient MLOps infrastructure.
• You implement algorithms and complex feature transformations efficiently within production systems, optimizing them for latency, throughput, and maximum stability.
• You build scalable data pipelines and feature stores that ensure reliable, consistent data supply for both training and serving — online and offline.
• You establish professional monitoring mechanisms such as drift detection, automated retraining, and validation processes to guarantee long‑term model quality in live operations.
• You collaborate closely with Data Scientists, MLOps teams, and IT Infrastructure teams, ensuring that all production‑grade AI/ML solutions follow software engineering best practices and comply with security, privacy, and regulatory requirements.

• You hold a master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.
• You have at least 3 years of professional experience in ML Engineering or MLOps, with a proven track record of building, deploying, and operating tailored AI/ML solutions in production.
• You bring deep expertise in Python and SQL, hands‑on experience with cloud platforms (ideally Azure), and familiarity with data warehouses such as Snowflake; foundational knowledge of Infrastructure‑as‑Code tools like Terraform is a plus.
• You are proficient with CI/CD tools (e.g., Azure Dev Ops), containerization technologies (Docker/Kubernetes), and apply modern software design patterns confidently.
• You thrive in a dynamic, agile, and innovative environment, working effectively both independently and as part of a team.
• You possess excellent English communication skills, both written and spoken;
  German language skills are considered a plus.

We are looking forward to your application and to applicants who enrich our diverse culture! Regardless of age, gender, origin and sexual identity and orientation. Severely disabled applicants will be given preference if equally qualified. This position can be full-time or part-time (min. 30h/week). DKV Mobility is looking for the best talents and knows that these are not always available on a full-time basis.

Many of our employees work part‑time or in flexible working models. Please talk to us about the flexibility you need during the application process.

At DKV Mobility, we are team players - because we are only successful together! #teamofteams You should feel welcome with us from the very beginning!

How we do it? We keep adapting our products and business model to meet changing customer needs. That's how we stay mobile and master every challenge…