Mission set up : Full remote, Switzerland timing.
Mission duration : 3 months renewable.
Experience required : Minimum 10 years.
Support technical operations for pRED-MLOps, focusing on security, financial operations, architecture, technical evaluations, and task breakdown.
Requirements
Security :
- Drive security processes including Security Risk Assessment (SRA) and Data Classification Request (DCR).
- Ensure compliance with Roche security policies.
- Conduct security audits and lead implementations of remediation plans.
Financial Operations (FinOps)
- Manage and optimize cloud infrastructure costs.
- Develop and monitor budget plans for MLOps operations.
- Provide regular cost analysis and reporting.
Architecture and Engineering Support
- Contribute to the design and maintenance of the MLOps solutions and infrastructure.
- Contribute to architectural best practices.
- Support the team in documenting system architecture and configurations
- Contribute to the hands-on implementation of MLOps solutions and infrastructure
Technical Explorations/Evaluations
- Conduct Proofs of Concept (PoCs) for new technologies.
- Evaluate technical solutions and make recommendations.
Technical Task Breakdown
Support the team in :
- breaking down tasks and epics into manageable components
- identifying dependencies between tasks
- proposing an optimal approach
Security Experience : Experience with security processes, preferably Roche SRA/DCR.
FinOps Experience : Experience managing and optimizing cloud costs.
Architecture : Understanding of system architecture principles and design patterns, preferably have previous experience in MLOps or similar area of work.
Technical Skills :
Proficient in Python
Extensive hands-on experience with cloud technologies, preferably AWS
Extensive hands-on experience in Docker and Kubernetes (incl. Helm, Kustomize)
Familiar with Infrastructure-as-Code tools, such as Terraform/CDK
Familiar with CI/CD tools, such as Gitlab CI, ArgoCD
Familiar with observability stacks, such as GrafanaLab stack or ELK or Datadog
Preferably has previous experience in popular MLOps technologies, such as Kubeflow, KServe.
Tasks management : Experience in breaking down technical tasks and epics
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