DevOps/ML Engineer (m/f/d)

Machine Learning Reply GmbH; München; Hybrid; EUR 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

Access to projects across various industries

Training in data engineering and cloud architecture

Active social program including team building

Award-winning office space in Munich

Public transport ticket

Gym-membership subsidy

Flexible work environment

Zusammenfassung

Machine Learning Reply GmbH is looking for skilled DevOps and ML Engineers to assist clients with machine learning and data processing projects in Munich. This role involves designing and implementing technical solutions, collaborating with stakeholders, and automating tasks. The ideal candidate holds a degree in computer science or related fields and has experience with cloud technologies. The company offers a flexible work environment and supports growth through interdisciplinary projects and training.

Qualifikationen

• Bachelor’s/master’s degree in computer science or related fields.
• First practical experience with DevOps/MLOps principles and cloud platforms.
• Ability to clearly present analytical results to management.
• Interest in Data Lifecycle covering Cloud, Engineering, Analytics, and ML Engineering.
• Fluent in English and German.

Aufgaben

• Design innovative technical approaches for data-intensive applications.
• Implement and own solutions on cloud or on-premises infrastructures.
• Automate tasks using state-of-the-art DevOps and MLOps concepts.
• Monitor and manage infrastructure for customers' ML solutions.
• Interact with customers to translate business requirements into solutions.
• Collaborate with various disciplines to develop data-intensive applications.

Jobbeschreibung

Overview

At Machine Learning Reply, we work with our customers on cutting-edge projects for which we are looking 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 Engineer or 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 either cloud based (AWS, Azure or GCP) and/or on-premises infrastructures of our customers.
• Automate recurring tasks by state-of-the-art DevOps and MLOps concepts, enabling your customers to significantly reduce their time-to-delivery.
• Take care of the necessary monitoring, failover, and recovery infrastructure 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 projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
• Broaden your skills through interdisciplinary work and training in the areas of data engineering, cloud architecture, and data science
• Benefit from industry-leading cooperations in the cloud, BI, and AutoML field
• Very active social 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 your state-of-the-art equipment
• Public transport ticket with Deutschlandticket
• Gym-membership subsidy for a gym of your choice
• Flexible work environment between client, Reply office, and remote work

Minimum Job Requirements / Qualifications

• Bachelor’s / master’s degree in computer science or any other related fields (e.g. engineering, statistics, physics).
• First practical experience with DevOps/MLOps principals and computing platforms like Microsoft Azure, AWS and GCP as well as Databricks.
• Ability to convincingly communicate and present analytical results to management.
• We cover the full 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 in English and German.

Desired

• Working experience in cloud technologies (AWS, Azure or GCP), Kubernetes and programming languages like 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)