DevOps/ML Engineer (m/f/d)

Meyandy LLC; München; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Public transport ticket

Gym membership subsidy

Office in Munich

Flexible work environment

Training & conferences

Zusammenfassung

Machine Learning Reply in Munich seeks DevOps/ML Engineers to support customer projects across industries, focusing on data processing and ML solutions. You will design technically innovative approaches and own delivery on cloud (AWS/Azure/GCP) or on-premises, collaborating closely with data scientists, engineers, and architects.

The role offers hybrid work between client sites, Reply offices, and remote settings, with chances to train, attend conferences, and participate in hackathons.

Qualifikationen

• Bachelor’s / Master’s degree in CS or related field.
• Experience with DevOps/MLOps on cloud platforms (Azure/AWS/GCP).
• Ability to communicate analytical results to management.
• Covers data lifecycle from cloud infra to ML engineering and MLOps.
• Fluent in English and German.

Aufgaben

• Design innovative technical approaches for data-intensive ML applications.
• Implement cloud/on-prem solutions for customer projects.
• Automate recurring tasks with modern DevOps/MLOps methods.
• Set up monitoring, failover, and recovery for ML solutions.
• Collaborate with architects, analysts, data scientists and engineers.

Kenntnisse

DevOps

MLOps

Cloud platforms

Data engineering

Python

Communication

Ausbildung

Bachelor's / Master’s degree in CS

Tools

Azure

AWS

GCP

Databricks

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 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 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 … DevOps/ML Engineer (m/f/d) — Machine Learning Reply, Munich.