Insight Global-posted about 1 year ago
$114,400 - $135,200/Yr
Full-time • Entry Level
Remote • Woonsocket, RI
1-10 employees
Administrative and Support Services

The ML Ops Engineer will join a Fortune 10 retail pharmacy client to focus on retail data products. This role involves scaling and deploying large machine learning models to support promotional and pricing forecasting. The position is contract-based with the intention to convert to full-time and allows for 100% remote work.

  • Scale and deploy large ML models for promotional and pricing forecasting.
  • Plan technical requirements for machine learning projects.
  • Utilize PyTorch and time series analysis techniques.
  • Work with Tree Models such as Random Forest and XGBoost.
  • Implement and maintain Feature Stores.
  • Monitor data and model drift, ensuring model performance.
  • Write complex SQL queries for database management and optimization.
  • Experience utilizing PyTorch and scaling CPUs & GPUs for output in PyTorch.
  • Experience working with Tree Models (Random Forest, XGBoost).
  • Experience utilizing Time Series Analysis techniques.
  • Ability to translate functionality into scalable, tested, and configurable requirements.
  • Experience implementing and maintaining Feature Stores.
  • Advanced SQL skills for complex query writing, optimization, and database management.
  • Experience in handling data and model drift including model monitoring.
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Health Savings Account (HSA) options
  • Flexible Spending Account (FSA) options
  • Dependent Care Flexible Spending Account (DCFSA) options
  • 401K retirement account access with employer matching
  • Paid sick leave
  • Other paid time off as provided by applicable law
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