Technical Operation for pRED-MLOps
Philippines - Remote
Brixio
Brixio empowers IT companies, IT teams, and web agencies to scale smartly and securely with our global IT expertise. Our flexible, high-quality offshore services prioritize cybersecurity and compliance, ensuring peace of mind as you grow your...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
Qualifications
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS CI/CD Classification Docker ELK Engineering GitLab Helm KServe Kubeflow Kubernetes MLOps Python Security Terraform
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