Tasks:
- * Advance machine learning methodologies
- * Build real-time and batch implementations
- * Collect and refine data sources
- * Develop recommendation and personalization models
- * Evaluate and deploy models
- * Integrate models into streaming architecture
Perks/Benefits:
- + 401k
- + Dental insurance
- + Employee discounts
- + Medical insurance
- + Paid leave
- + Tuition reimbursement
- + Vision insurance
Skills/Tech stack required:
[Airflow] [Databricks] [Data Mining] [Data Processing] [Deep learning] [Foundation Models] [Generative AI] [Graph methodologies] [Kubeflow] [Machine Learning] [Model Deployment] [Personalization] [PySpark] [Python] [Recommender Systems] [Reinforcement Learning] [SQL] [Statistical modeling]
Educational requirements:
[Master's Degree] [PhD]
Role(s):
[Data Scientist] [Lead] [Lead Data Scientist] [Scientist]