DevOps/ML Engineer (m/f/d)

About This Opportunity

Our talent team is representing a confidential technology consultancy in Munich that delivers cutting-edge machine learning and data processing solutions across multiple industries. We're seeking a DevOps/ML Engineer to support client projects involving AI, cloud infrastructure, and data-intensive applications. Whether you're an experienced engineer or entering the field, if you're passionate about coding, data, and bringing innovative ideas to production, we want to connect with you.

Responsibilities

• Design technical approaches for data-intensive applications with a focus on machine learning and artificial intelligence
• Implement and take ownership of solutions on cloud platforms (AWS, Azure, GCP) and on-premises customer infrastructures
• Automate recurring tasks using state-of-the-art DevOps and MLOps concepts to reduce time-to-delivery
• Establish monitoring, failover, and recovery infrastructures for safe operation of ML solutions in compliance with regulatory requirements
• Interact closely with customers and stakeholders to translate complex business requirements into production-ready solutions
• Collaborate with enterprise architects, analysts, data scientists, and data engineers on data warehouses, data lakes, and data platforms

What We're Looking For

Required:

• Bachelor's or Master's degree in computer science or related fields (engineering, statistics, physics)
• Practical experience with DevOps/MLOps principles and cloud computing platforms such as Microsoft Azure, AWS, GCP, or Databricks
• Ability to communicate and present analytical results to management effectively
• Interest or experience across the data lifecycle: cloud infrastructure, data engineering, analytics, visualization, ML engineering, and MLOps
• Fluent in English and German

Desired:

• Working experience with cloud technologies, Kubernetes, and programming languages including Python, Java, and Scala
• Practical experience with SQL and NoSQL database technologies and data lakes
• Experience with big data technologies (Apache Spark), data streaming (Apache Kafka), and workflow orchestration (Apache Airflow, Dagster)

How We Work With You

When you apply through Get A Job.ai, one of our experienced recruiters will screen your application and discuss the role with you in detail. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to creating an inclusive recruitment process. We welcome applications from all qualified candidates regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.