Job Title:Data ML Engineer ( Finance Domain )
Location:McLean,VA, (OR) NY city NY
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 pipelines)
- AWS solution Architect Cert
Project Details/Day2Day:
- Maintain and develop ML serving pipelines (Kubeflow + Spark + Python)
- Work with DS teams on training pipelines and feature engineering
- Develop features, deploy applications, test, and perform vulnerability fixes
- Debugging and supporting production ML pipelines and CICD workflows
- Supporting discover integration across all groups and enterprise
- Build, train, and deploy machine learning models
- Support models for:
o Credit card decisioning
o Fraud tracking
o Risk assessment
o Partner applications (Kohl's, BJs)