MLOps Engineer (all genders)

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