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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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.