Jobs in Germany
Keywords
MLOps | Cloud | Kubernetes
The role
As a MLOps-engineer at UAI, you enable the machine learning engineers to build, operate and ship models and to manage data in an efficient way. Having teams that are responsible for a product end to end, you will work in a team of machine learning engineers and collaborate closely with our DevOps experts across teams.
The role is a blend of system and software engineering where coding and automation are essential. Furthermore you can drive the implementation of particular solutions and distribute your knowledge to the other team-members. You embody the philosophies of DevOps with a greater focus on measuring and achieving reliability through engineering and operations work.
Your tasks
- Build and maintain the next generation of our ML infrastructure catering for...
- Model development
- Data management
- Model operation and management and monitoring
- Cost transparency
- Provide developer friendly tools to enable ML engineers
- Drive the implementation together with ML engineers
- Collaborate closely with our DevOps experts
- Promote MLOps mindset in the team
- Constantly evaluate state of the art MLOps solutions for our use case
- Identify automation opportunities to gain efficiency, reliability, and scalability
What will you need to be successful?
- Experience with MLOps tools
- Strong experience with at least one cloud provider – we are using Google Cloud
- Experience with Kubernetes
- At least basic understanding of machine learning
- Solid experience in one high-level language, e.g. Python, JavaScript, Java, or similar
- Large-scale system design exposure, in-depth understanding of UNIX/Linux, network technology, and security practices
- Ability to lead initiatives and motivate people
- Enjoy working in a team and actively communicating with your colleagues
- Education, job experience, and special requirements
- University degree in Computer Science (or related) or a proven track record as a MLOps expert
- Good communication skills in English both verbal and written
What we offer
- A crucial role in a dynamic and fast-growing team
- A work environment that fosters trust, respect, and feedback
- An onboarding buddy to integrate you smoothly into our team
- Productivity and improvement time between the development sprints
- A mentor helping you with your personal goals, technical progress in general and your software engineering skills in particular
- Free snacks, drinks, and the option to join activities like hiking, inline-skating, climbing or board game nights
- Competitive salary, flexible working hours, work from home
Overview of our tech stack
Google Cloud, Kubernetes, Terraform, ArgoCD, Docker, Python, Typescript
Contact person
Katrin Maar
HR Business Partner
+4917660199870
