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ML
Machine Learning Reply

DevOps/ML Engineer (m/f/d)

Munich, Bayern, GermanyEnglishAt Machine Learning Reply, we work with our…
OperationsEngineeringAI & DataPeople & HRResearch
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At a glance
LocationMunich, Bayern, Germany
Work styleNot specified
TypeNot specified
ScheduleNot specified
RemunerationAt Machine Learning Reply, we work with our customers on cutting-edge projects…
Start dateIf you're a DevOps or ML Engineer or just starting…
DeadlineNot stated
Required languagesTake care of the necessary monitoring, failover, and recovery infrastructures…
The opportunity

About the role

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.

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Conditions

Conditions

  • 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!

How they work

  • 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.
Conditions

Benefits & working conditions

  • Access to work on projects
The organization

About Machine Learning Reply

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