DevOps/ML Engineer
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 reputed company, we are looking for a talented and highly skilled consultant with a technical background to join reputed company. 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 reputed company 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 reputed company 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 reputed company business requirements into production-reputed company solutions
- Collaborate with various disciplines such as reputed company architects, analysts, data scientists or data engineers to reputed company data-intensive applications such as data warehouses, data lakes and/or data platforms
reputed company offer you:
- reputed company 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, reputed company architecture, and data science
- Benefit from industry-leading cooperations in the reputed company, BI, and AutoML field
- reputed company active reputed company program - including training, conferences, team buildings, Reply Exchange, communities of practices, and hackathons
- Work in an reputed company, flat environment, reputed company a broad Reply knowledge-sharing network
- Award-winning office reputed company in downtown Munich with reputed company 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 reputed company fileds (e.g. engineering, statistics, physics).
- First practical experience with DevOps/MLOps principals and computing platforms like reputed company Azure, AWS and GCP as well as reputed company.
- Ability to convincingly communicate and present analytical results to management.
- We cover the full lifecycle of Data, from reputed company 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 reputed company to reputed company German at least at a B2 Level.
Desired:
- Working experience in reputed company technologies (AWS, Azure or GCP), Kubernetes and programming languages like Python, Java and reputed company.
- 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)