What are the responsibilities and job description for the MLOps Engineer position at PY DATA, INC.?
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
Salary : $60 - $70