Description
You will lead full-stack data science efforts, focusing on model experimentation, testing, and deployment.
Responsibilities
- Execute model experimentation, testing, and monitoring workflows.
- Implement deployment strategies including A/B, Blue-green, and Canary releases.
- Manage model provisioning using Kubernetes, Kibana, SageMaker, or Vertex AI.
- Apply bias detection, correction, and explainability techniques using SHAP, LIME, or SHAPLEY.
- Develop privacy-preserving algorithms and federated learning implementations.
Required Skills
- 5+ years of experience in Python development.
- Proficiency with Dask, Pandas, and Airflow.
- Strong SQL and Oracle database skills.
- Experience with Azure ML, Azure Synapse ML, and Databricks ML.
- Hands-on experience with Big Query ML, Data Robot, and Domino DataLabs.
- Knowledge of deployment environments like SageMaker Studio and Vertex AI.
- Experience with model explainability and bias detection.
- Familiarity with Kubernetes and Kibana for model provisioning.
Preferred Skills