MLOps Engineer

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 preferred, New York possible)

Nice to haves:

- SQL / data analysis experience

- Databricks

- Additional ML tooling experience (mlplot, Data bricks)

- DevOps familiarity (Jenkins, CICD