DevOps/ML Engineer (m/f/d)

Machine Learning Reply GmbH; Berlin; Vor Ort; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

A leading company in AI and machine learning is seeking talented DevOps and ML Engineers to contribute to innovative projects across various industries. This role involves designing robust solutions, collaborating with clients, and enhancing automation processes. Ideal candidates will have a strong technical background and a passion for data and AI.

Leistungen

Access to interdisciplinary training

Flexible work environment

Gym membership subsidy

Public transport ticket

Award-winning office space

Very active social program

Qualifikationen

• First practical experience with DevOps/MLOps principles and cloud platforms.
• Fluent in English and able to speak German at least at a B2 Level.

Aufgaben

• Design innovative technical approaches for data-intensive applications.
• Automate tasks using state-of-the-art DevOps and MLOps concepts.
• Collaborate with cross-disciplinary teams to develop data-intensive applications.

Kenntnisse

DevOps principles

MLOps principles

Data engineering

Cloud architecture

Data science

Ausbildung

Bachelor’s or master’s degree in computer science or related fields

Tools

AWS

Azure

GCP

Python

Java

Scala

Jobbeschreibung

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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 necessarymonitoring, failover, and recovery infrastructuresthat allow our customers save operation of their machine learning solutions in agreement with latest regulatory requirements
• Closelyinteract with customers and stakeholdersto translate concrete and complex business requirements into production-readysolutions
• Collaborate with various disciplinessuch as enterprise architects, analysts,data scientists ordata engineersto 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 fileds (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 able to speak German at least at a B2 Level.
  
  
  

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)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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