DevOps/ML Engineer (m/f/d)

<p>At Machine Learning Reply, we <strong>work with our customers on cutting-edge projects</strong> for which we are <strong>looking for DevOps and ML Engineers</strong> 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.</p><p><strong>If you're a DevOps or ML Engineer</strong> <strong>or just starting out</strong> 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 - <strong>then we want to hear from you!</strong></p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li><p><strong>Design innovative, technical approaches</strong> for data intensive and applications with a focus on machine learning and artificial intelligence.</p></li><li><p>Implement and take ownership for your solutions on in either <strong>cloud based </strong>(<strong>AWS</strong>,<strong> Azure</strong> or <strong>GCP</strong>) and/or <strong>on-premises infrastructures</strong> of our customers.</p></li><li><p>Automate recurring tasks by state-of-the-art <strong>DevOps</strong> and <strong>MLOps concepts</strong>, enabling your customers to significantly reduce their time-to-delivery.</p></li><li><p>Take care of the necessary <strong>monitoring, failover, </strong>and<strong> recovery infrastructures</strong> that allow our customers save operation of their machine learning solutions in agreement with latest regulatory requirements</p></li><li><p>Closely <strong>interact with customers and stakeholders</strong> to translate concrete and complex business requirements into production-ready <strong>solutions</strong></p></li><li><p><strong>Collaborate with various disciplines</strong> 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</p></li></ul><p><strong><br>What we offer you:</strong></p><ul><li><p>Access to work on projects <strong>across industries</strong> (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc<em>.</em>)</p></li><li><p>Broaden your skills through interdisciplinary work and training in the areas of <strong>data engineering, cloud architecture, and data science</strong></p></li><li><p>Benefit from industry-leading cooperations in the cloud, BI, and AutoML field</p></li><li><p>Very active <strong>social program</strong> - including training, conferences, team buildings, Reply Exchange, communities of practices, and hackathons</p></li><li><p>Work in an open, flat environment, within a broad Reply knowledge-sharing network</p></li><li><p>Award-winning office space in downtown Munich with access to “Stammstrecke”</p></li><li><p>You choose your <strong>state-of-the-art equipment</strong></p></li><li><p>Public transport ticket with <strong>Deutschlandticket</strong></p></li><li><p><strong>Gym-membership</strong> <strong>subsidy</strong> for a gym of your choice</p></li><li><p><strong>Flexible </strong>work environment between client, Reply office, and remote work</p></li></ul> <br> <p><strong>Minimum Job Requirements</strong> / <strong>Qualifications</strong>:</p><ul><li><p><strong>Bachelor’s / master’s degree</strong> in computer science or any other related fileds (e.g. engineering, statistics, physics).</p></li><li><p><strong>First practical experience </strong>with<strong> DevOps/MLOps </strong>principals and computing platforms like <strong>Microsoft Azure, AWS</strong> and <strong>GCP</strong> as well as <strong>Databricks</strong>.</p></li><li><p>Ability to convincingly <strong>communicate and present analytical</strong> results to <strong>management.</strong></p></li><li><p>We cover the <strong>full lifecycle of Data</strong>, from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to ML Engineering to and MLOps. <strong>Interest and/or experience in some of those fields is an advantage</strong>.</p></li><li><p>Fluent in <strong>English</strong> and <strong>German</strong>.</p></li></ul><p><strong><br>Desired</strong>:</p><ul><li><p>Working experience in <strong>cloud technologies (AWS, Azure </strong>or <strong>GCP), Kubernetes </strong>and programming languages like <strong>Python, Java</strong> and <strong>Scala</strong>.</p></li><li><p>Practical experience with SQL and NoSQL database technologies and data lakes</p></li><li><p>Experience with big data technologies (<strong>Apache Spark</strong>), data streaming (<strong>Apache</strong> <strong>Kafka</strong>) and workflow orchestration (<strong>Apache Airflow, Dagster</strong>)</p></li></ul><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>