MLOps Engineer

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.