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DevOps/ML Engineer machinelearningreply. 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 able to speak German. at least at a B2 Level.. 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. )