MLOps Engineer

Summary

Senior Software and Platform Engineer with 20+ years of experience building the infrastructure that production systems run on. Deep hands-on expertise in Kubernetes, CI/CD pipeline engineering, Python, Linux, containerized deployments, and observability. Practitioner of AI tooling at the system level: built a local LLM inference daemon with GPU acceleration, structured prompt protocols, and multi-backend support (Ollama, Claude API). Experienced in regulated, high-compliance environments including U.S. Air Force and Department of Veterans Affairs delivery. Known for operational discipline, cross-team enablement, and building systems that other engineers can understand and maintain.

Expectations

Seeking an MLOps or Platform Engineering role where I can bridge the gap between infrastructure expertise and AI/ML systems. I want to work on real production challenges model serving, observability, CI/CD for ML workloads, and reliable deployment pipelines. I thrive in technically demanding environments that value operational discipline and deep problem-solving, and I am looking for a team building systems that need to be trusted in production.

Employment Preferences

Expected Base Salary

**0,000 USD

Expected Total Compensation

**0,000 USD

Expected Hourly Rate

**0 USD/hr

Academic Degree

Experience

Skills

• Kubernetes
• Docker
• Jenkins
• Bitbucket
• Bamboo
• Artifactory
• CI
• CD
• Python
• Bash
• C#
• Java
• .NET Core
• REST APIs
• Node.js
• JavaScript
• SQL
• Git
• Prometheus
• Grafana
• Elasticsearch
• Ollama
• Claude API
• MLOps
• LLM
• GPU Inference
• Whisper
• Vulkan
• CUDA
• Linux
• AWS Lambda
• AWS S3
• AWS IoT
• Raspberry Pi
• Arduino
• RAG
• Structured Prompt Engineering
• Containerized Deployments
• DevOps
• Observability
• Platform Engineering