Platforms Engineer, MLOps
Tasks
- Administer Linux systems
- Automate infrastructure with Infrastructure as Code
- Build and maintain production infrastructure resilient secure high performing
- Collaborate with data scientists and engineers
- Design build and maintain platform tooling stack
- Develop and maintain MLOps practices processes
- Develop tools and software to automate infrastructure
- Document and investigate production issues
- Implement CI/CD pipelines for ML models
- Mentor apprentices and contribute to MLOps curriculum
- Monitor version control and track ML models
- Propose and drive technical decisions to completion
Perks/Benefits
Skills/Tech-stack
AWS | Ansible | Azure | Bash | CI/CD | Cloud platform | Docker | Git | GitOps | Go | Google Cloud | Google Cloud Platform | Grafana | Helm | Infrastructure as Code | JavaScript | Kubernetes | Linux | MLflow | Machine Learning | Prometheus | Python | Rust | Terraform | TypeScript | Weights and Biases | “as-code”
Education
N/A
Roles
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