Machine Learning Ops Engineer
Tasks
- Automate provisioning with Ansible
- Build CI/CD pipelines for AI
- Build LLM powered tools
- Build agentic workflows
- Build data pipelines for RAG and AI
- Deploy AI tools and services to production
- Design retrieval ranking and evaluation
- Ensure access control and data boundary compliance
- Implement monitoring logging and observability
- Improve RAG systems
- Integrate LLM tools with internal systems
- Manage vector databases and retrieval stores
- Operate model serving on Kubernetes
Perks/Benefits
- 401k match
- Annual Company Holidays
- Dental insurance
- Life insurance
- Medical insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
Anomaly monitoring | Ansible | CI/CD | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Logging | OAuth | Observability | Python | RBAC | Retrieval-Augmented Generation | SSO | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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