Role overview
A technology services client of ours is looking for an MLOps Engineer for their ongoing projects.
**Below are the additional details of this role:**
**Required Qualifications:**
* Must have experience with Python, Docker, ML Ops, and ML Engineering (mandatory). REST Microservices. Flask or FastAPI.
* 1+ years of experience maintaining legacy codebases.
* Familiarity with model lifecycle management and production inference environments.
* Intermediate knowledge of ML model deployment and lifecycle management alongside standard python ML PackagesWorking knowledge of logging/monitoring tools (Splunk, Wavefront).
* Ability to collaborate cross-functionally
This role can be W2 or 1099/C2C and open for USC/GC/H1B/H4 EAD resources.