Avenga is a global IT and digital transformation champion. We deliver strategy, customer experience, solution engineering, managed services, software products and outsourcing services like: staff augmentation, team leasing and permanent employment.
Together, we are more than 2500 professionals with over 20 years of experience. We are present in Europe, Asia and the USA.
MLOps Engineer
Miejsce pracy: woj.
opolskie
Nr ref.: LP/MLOPSE/POZ/05
Nr ref.: LP/MLOPSE/POZ/05
MLOps Engineer - to support and enhance the delivery of a Machine Learning Platform. 100% remote
Technology stack
- ML
- Seldon technologies
- MLFlow
- Python
- Public cloud
- Azure – preferred
- (nice to have) Google Cloud Platform
- Containers
- Kubernetes
- Istio or similar
- Prometheus/Grafana/Alert Manager/Elastic Stack
- Infrastructure as Code:
- (nice to have) Terraform
Automation and other tools:
- Python, Bash
- Helm
- Azure DevOps
- Argocd or similar
- GitHub, JIRA & Confluence or similar
Project description, typical tasks and duties:
- Discover, incubate and showcase MLOps tools, frameworks, and platforms to enable our AI/ML and Data Science teams
- Deliver and maintain production-grade machine learning platforms
- Collaborate with R&D to educate around DevOps mindset to AI/ML
- Write code to integrate solutions into seamless workflows - CI/CD and (potentially) some workflow systems/solutions
- Work with System Engineers and DevOps Engineers to fine-tune and improve the infrastructure Proactively look for ways and solutions to improve effectiveness of your own work
- Deliver solutions with integrated "safety switches" to reduce human error factor, provide traceability, roll back capabilities and reduce IT security risk (AKA shift left security)
- Tasks assignment and tracking - JIRA
- Write documentation in Atlassian Confluence - we need to document our work to submit it for approval and to be able to turn our deliverables into "live" systems.
- No on-call duties, no weekend work
- Salary: 160 - 190 PLN per hour (B2B)
Ideal candidate's profile:
- Regular & Senior - 3+ years of experience
- Able to work autonomously for most of the day, creating solutions (code) that are part of a larger project
- Able to not only follow proposed design but also to present options, optimize and improve
- Extensive Kubernetes experience and familiarity with Cloud Native tools and the CNCF landscape
- Comfortable with DevOps processes and automated deployments, Infrastructure as Code, declarative deployments/GitFlow.
- Good understanding of AI/ML concepts. Familiarity and understanding of ML experimentation and inference processes
- Experience maintaining/deploying ML models in production
- Experience managing enterprise wide software deployments and Day-2 Ops
- System architecture knowledge/experience (nice to have)
- Self-learner eager to do deep dives into unknown areas of technology
- Able to document his work pre and post implementation, create high level diagrams
- B2 - C1 English