Full Stack Data Scientist
USA - Seattle, WA, United States
R
USD 137K-186K Senior-level Full Time
Tasks
- Apply DevSecOps security controls
- Apply GitOps workflows
- Build MLOps workflows
- Build and deploy AI/ML solutions
- Build secure container images and supply chain controls
- Create Helm charts and deployment templates
- Deploy and manage Kubernetes applications
- Design AI ML platform capabilities
- Develop data pipelines and data integration services
- Engineer infrastructure for ML workloads
- Implement CI/CD pipelines
- Implement monitoring and model lifecycle management
- Maintain technical documentation and runbooks
- Manage model registry and deployments
- Manage secrets and access control least privilege
- Operate secure scalable AI ML platforms
- Orchestrate data workflows
- Provision infrastructure with Infrastructure-as-Code
- Serve models in on premises and hybrid environments
- Set up observability metrics logs traces dashboards alerting
- Support incident response and root cause analysis
- Troubleshoot distributed platform and data issues
Perks/Benefits
Skills/Tech-stack
Ansible | Artificial Intelligence | CI/CD | Data Engineering | Data Pipelines | DevSecOps | Docker | Experiment tracking | Generative AI | GitOps | Grafana | Helm | Kubernetes | Linux | Loki | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Registry | NoSQL | Object storage | Observability | OpenTelemetry | Prometheus | Python | RBAC | Relational databases | Secrets management | TLS | Terraform | Vector Databases | Vulnerability scanning | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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