DevOps/ML Engineer (m/f/d)

At Machine Learning Reply, wework with our customers on cutting-edge projects for which we arelooking for DevOps and ML Engineers to support our customer projects around machine learning and data processing across various industries. To expand our team, we are looking for a talented and highly skilled consultant with a technical background to join our team. As a consultant, you will be responsible for providing expert advice and technical support to our clients.

If you're a DevOps or ML Engineeror just starting out in the field of machine learning and/or DevOps engineering - if you never lose focus, love coding, data and AI, and are passionate about bringing your ideas to life -then we want to hear from you!

Responsibilities:

• Design innovative, technical approaches for data intensive and applications with a focus on machine learning and artificial intelligence.

• Implement and take ownership for your solutions on in eithercloud based(AWS, Azure orGCP) and/oron-premises infrastructures of our customers.

• Automate recurring tasks by state-of-the-artDevOps andMLOps concepts, enabling your customers to significantly reduce their time-to-delivery.

• Take care of the necessary monitoring, failover,and recovery infrastructures that allow our customers save operation of their machine learning solutions in agreement with latest regulatory requirements

• Closely interact with customers and stakeholders to translate concrete and complex business requirements into production-ready solutions

• Collaborate with various disciplines such as enterprise architects, analysts, data scientists or data engineers to develop data-intensive applications such as data warehouses, data lakes and/or data platforms

What we offer you:

• Access to work on projectsacross industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)

• Broaden your skills through interdisciplinary work and training in the areas ofdata engineering, cloud architecture, and data science

• Benefit from industry-leading cooperations in the cloud, BI, and AutoML field

• Very activesocial program - including training, conferences, team buildings, Reply Exchange, communities of practices, and hackathons

• Work in an open, flat environment, within a broad Reply knowledge-sharing network

• Award-winning office space in downtown Munich with access to “Stammstrecke”

• You choose yourstate-of-the-art equipment

• Public transport ticket withDeutschlandticket

• Gym-membershipsubsidy for a gym of your choice

• Flexiblework environment between client, Reply office, and remote work

Minimum Job Requirements /Qualifications:

• Bachelor’s / master’s degree in computer science or any other related fileds (e.g. engineering, statistics, physics).

• First practical experiencewith DevOps/MLOpsprincipals and computing platforms likeMicrosoft Azure, AWS andGCP as well asDatabricks.

• Ability to convincinglycommunicate and present analytical results tomanagement.

• We cover thefull lifecycle of Data, from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to ML Engineering to and MLOps.Interest and/or experience in some of those fields is an advantage.

• Fluent inEnglish andGerman.

Desired:

• Working experience incloud technologies (AWS, AzureorGCP), Kubernetesand programming languages likePython, Java andScala.

• Practical experience with SQL and NoSQL database technologies and data lakes

• Experience with big data technologies (Apache Spark), data streaming (ApacheKafka) and workflow orchestration (Apache Airflow, Dagster)