DevOps/ML Engineer (m/f/d)

Reply S.p.A.; München; Vor Ort; EUR 55.000 - 80.000; Vollzeit

Benefits dieser Stelle

Access to diverse projects across industries

Interdisciplinary work and training

Social program including team buildings

Award-winning office space

State-of-the-art equipment

Gym membership subsidy

Flexible work environment

Zusammenfassung

A leading technology consultancy in Munich is seeking talented DevOps and ML Engineers to support client projects in machine learning and data processing. Ideal candidates will have a degree in computer science, practical experience with cloud platforms, and a passion for innovative data solutions. This role offers a stimulating work environment with opportunities for skills broadening through interdisciplinary projects in various industries, including banking and automotive.

Qualifikationen

• First practical experience with DevOps/MLOps principals.
• Ability to convincingly communicate and present analytical results.
• Interest and/or experience in Data Engineering and Analytics is an advantage.

Aufgaben

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

Kenntnisse

DevOps principles

Machine learning

Cloud computing

Data engineering

Data science

Communication skills

SQL

NoSQL

Python

Kubernetes

Ausbildung

Bachelor's / master's degree in computer science or related fields

Tools

Microsoft Azure

AWS

GCP

Databricks

Apache Spark

Apache Kafka

Apache Airflow

Dagster

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 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 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)