IV 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 preferred, New York possible)
- Previous Capital One experience highly desirable
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