MLOps Engineer
Summary
The MLOps Engineer will work in a hybrid capacity in McLean, VA, to manage machine learning workflows and infrastructure. The role requires proficiency in Python, AWS, Kubernetes, and Spark to support ML tooling and pipeline development.
MLOps Engineer Hybrid McLean, VA 12 months Interview Process: - Round 1: 30-minute job-fit interview - Round 2: 1-hour technical coding assessment interview (for candidates who pass job-fit) Must haves: Python MLOps Kubernetes Spark AWS Job Description: Data Machine Learning Engineer Must haves: - Python - AWS - Kubernetes - Kubeflow (or equivalent workflow experience) - Spark pandas, NumPy - ML Ops / ML tooling experience - Hybrid on-site requirement (must be able to work in-office; McLean pre…