Connecting Odds
Machine Learning Reply

DevOps/ML Engineer (m/f/d)

Machine Learning Reply
Munich, Bayern, GermanyPosted 20 days agoDiscoveredMatch locked
MidMachine Learning Engineering

About the role

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.

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 -

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

•

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 (

Kafka

) and workflow orchestration (

Apache Airflow, Dagster

) Find Jobs in Germany on Arbeitnow

Not included in the source posting: about the role, benefits.

Skills

machine-learningdevopsawsazuregcpmlopsairflowartificial-intelligencedatabricksjavakafkakubernetes

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.

Apply