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 gy