Senior AI Engineer: Production ML & MLOps in Azure

DEKRA Digital & Product Solutions; Málaga; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

DEKRA Digital & Product Solutions in Málaga, Madrid, and San Cugat is seeking a Senior AI Engineer to strengthen the Data & AI Engineering and Innovation Team. You will develop and deploy AI-driven applications, integrating models into existing systems and APIs.

The role partners with cross-functional teams to productionize prototypes, optimize performance, and ensure secure cloud and on-prem environments. A strong focus on observability, ML tooling, and staying ahead with the latest frameworks

Qualifikationen

• Bachelor’s degree in Computer Science, Engineering, or STEM field.
• 4+ years of AI, Data Science, or ML Engineering experience in real-world environments.
• Strong Python programming and software engineering practices (testing and CI/CD).
• Experience deploying AI/ML solutions in Azure (Azure ML or Azure AI Services).

Aufgaben

• Develop and maintain AI applications and services for internal and external users.
• Collaborate with infrastructure and DevOps teams to deploy secure, scalable environments.
• Partner with AI engineers to turn prototypes into production-grade solutions.
• Monitor performance and implement observability to detect incidents and drift.
• Stay up to date with AI frameworks and cloud technologies to improve production systems.

Kenntnisse

Python

CI/CD

Software engineering principles

Azure ML / Azure AI Services

PyTorch

Ausbildung

Bachelor's degree in Computer Science or related STEM field

Tools

FastAPI

Pandas

Scikit-learn

MLflow

Airflow

Dagster

Docker

Kubernetes

Jobbeschreibung

DEKRA Digital & Product Solutions in Málaga, Madrid, and San Cugat is seeking a Senior AI Engineer to strengthen the Data & AI Engineering and Innovation Team. You will develop and deploy AI-driven applications, integrating models into existing systems and APIs.

The role partners with cross-functional teams to productionize prototypes, optimize performance, and ensure secure cloud and on-prem environments. A strong focus on observability, ML tooling, and staying ahead with the latest frameworks