DevOps/ML Engineer (m/f/d)

Reply S.p.A.; München; Hybrid; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

Join a forward-thinking company that specializes in machine learning and data processing. As a DevOps or ML Engineer, you will work on innovative projects across various industries, implementing cutting-edge solutions that enhance operational efficiency. This role offers the opportunity to collaborate with diverse teams, gain exposure to cloud technologies, and broaden your skills in a dynamic environment. With a strong emphasis on professional development, you will be part of a vibrant community that values knowledge sharing and innovation. If you are passionate about coding, data, and AI, this is the perfect opportunity to advance your career and make a significant impact.

Leistungen

Public transport ticket with Deutschlandticket

Gym-membership subsidy

Flexible work environment

Access to interdisciplinary training

Award-winning office space

Active social program

State-of-the-art equipment

Participation in hackathons

Qualifikationen

• Bachelor’s or master's degree in computer science or related fields is required.
• Practical experience with DevOps/MLOps and cloud platforms is essential.

Aufgaben

• Design and implement technical solutions for data-intensive applications.
• Automate tasks using DevOps and MLOps concepts to enhance delivery speed.

Kenntnisse

DevOps

MLOps

Machine Learning

Cloud Computing (AWS, Azure, GCP)

Data Engineering

Data Science

Python

SQL

NoSQL

Apache Spark

Ausbildung

Bachelor's degree in Computer Science

Master's degree in related fields

Tools

AWS

Azure

GCP

Databricks

Kubernetes

Apache Kafka

Apache Airflow

Jobbeschreibung

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 applications with a focus on machine learning and artificial intelligence.
• Implement and take ownership of your solutions on 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 infrastructures that allow our customers to save operation of their machine learning solutions in agreement with the 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 principles 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 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).