We are looking for a talented and highly skilled consultant with a technical background to join our team as a DevOps/ML Engineer. As a consultant, you will be responsible for providing expert advice and technical support to our clients.
Requirements
- 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
Benefits
- 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