About the job:
If you’re looking for a new position in an agile IT consulting company, we’ve got a match for you!
QualityMinds is a place where extraordinary people work together to create high-quality software. With us, you’ll get the space to develop yourself further and deepen your knowledge of new technologies with exciting projects.
The DevOps Team is not an afterthought in our company. Your work will have a significant impact on the product and the way all QualityMinds teams operate. Our focus is on automating the processes of Continuous Integration & Deployment, as well as creating monitoring and alerts for processes and environments.
Our Team is growing rapidly. We are now looking for new tech talents to join us. Are you the one? Join the crew and become our next MLOps Engineer.
We are currently looking for a full-time MLOps Engineer with expertise in Kubernetes and Python-based machine learning.
Daily Tasks:
- Designing and implementing an innovative platform architecture for machine learning operations.
- Supporting a small team of data scientists and machine learning engineers in the maintenance and development of their infrastructure.
- Makeing suggestions on how to build new (or improve upon existing) data infrastructure solutions.
- Investigateing and fixing arising problems on system, deployment, or application levels.
- Deploying and maintaining machine learning models on Kubernetes clusters.
General Requirements:
- 10 years of professional IT experience.
- Bachelor’s degree or higher in Computer Science or related field.
- Proven experience in MLOps and deploying machine learning models on Kubernetes.
- Experience in administering Linux OS.
- Knowledge how to build and operate Docker containers.
- Familiarity with Azure DevOps, GKE, AKS, and Terraform for CI/CD and infrastructure as code.
- Programming skills in software development (Python).
- Fluent in spoken and written English (minimum B2 level, mandatory).
- Communicaltion skills.
Nice to have:
- Experience with jupyter-hub or general jupyter deployments
- Procativity
Benefits:
- Fully remotely or in-house work at our office in Warsaw
- Contract of employment or B2B contract
- Flexible working schedule
- Medical care (LuxMed)
- Multisport
- Self-development opportunities
- Internal & External trainings
- Certification opportunities
- English conversations with native speakers
- International teams and projects
Google Kubernetes Engine (GKE) azure-aks CI/CD Infrastructure as Code (IaC) Data Science Python Terraform Linux Docker Kubernetes Machine Learning Azure DevOps monitoring alerts jupyter Software Developer Initiative