MLOps Engineer
Core
Bridge the gap between machine learning development and production by designing and optimizing infrastructure, pipelines, and processes for reliable, scalable AI solutions.
Role type
MLOps Engineer
Builds
Scalable Python applications, RESTful APIs, CI/CD pipelines, and LLM inference workloads
Domain
Personal injury claims management / AI infrastructure
Deliverable
production ML models
Required skills
Python, FastAPI, GitHub Actions, Docker, Kubernetes, Linux, Bash scripting, vLLM, Ray, prompt engineering, LLM evaluation
Preferred skills
Inference optimization, troubleshooting, emerging AI technologies
Technologies
Python, FastAPI, GitHub Actions, vLLM, Ray, Docker, Kubernetes
Responsibilities
Design and maintain scalable Python applications and RESTful APIs; Build and optimize CI/CD pipelines; Deploy and optimize LLM inference workloads; Develop containerized applications; Apply prompt engineering and LLM evaluation techniques; Collaborate with stakeholders to deliver production-ready solutions.
Seniority
Mid-level, hands-on IC
