Overview
On Site
Hybrid
Depends on Experience
Contract - W2
Skills
ML
Git
Ci/CD
Job Details
Position: ML engineer
Location: Richmond, VA
Onsite: once a month, training couple times of week
Must have: Machine learning, databricks, Google Cloud Platform, python, and CI/CD
Required Skills & Experience
- Strong proficiency in Python for ML development and data manipulation.
- Experience with Databricks for collaborative development, ML lifecycle management, and lakehouse architecture.
- Familiarity with Google Cloud Platform AI services (e.g., Vertex AI, BigQuery ML, Cloud Functions).
- Solid understanding of both supervised and unsupervised ML algorithms, especially clustering and regression.
- Experience with AI/ML observability tools (e.g., MLflow, Evidently, WhyLabs, or similar) and observability measures (data drift, model drift, concept drift, etc.)
- Knowledge of CI/CD practices and tools like GitHub Actions.
- Ability to work with structured and unstructured data from product pricing tools (ex. Oracle s JD Edwards), and other enterprise systems.
Preferred Qualifications
- Experience in pricing optimization, revenue management, or retail analytics.
- Familiarity with open-source ML platforms and libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
- Exposure to feature stores, model registries, and automated retraining workflows.
- Understanding of data governance, security, and compliance in ML systems.
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