Sr Machine Learning Engineer

Overview We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time. Position Summary: CVS Shared Services Resources LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr Machine Learning Engineer to design and implement ML solutions that automate pharmacy operations and improve patient care outcomes. Partner directly with retail pharmacy stakeholders to identify automation opportunities and define ML solution requirements. Conduct feasibility analysis using Snowflake data warehouse to assess data availability and quality for proposed ML initiatives. Present technical findings and recommendations to business teams, translating complex ML concepts into actionable insights. Lead requirements gathering sessions with Lead Data Scientist to scope pharmacy-specific ML projects. Design and develop ML models for pharmacy growth and operations to drive incremental scripts and operational efficiencies. Build and optimize feature engineering pipelines for pharmacy-specific use cases. Implement diverse ML approaches including deep learning (LSTM, GRU, BERT, Transformers), gradient boosting (XGBoost, LightGBM), neural networks, ensemble methods, anomaly detection algorithms, and reinforcement learning for sequential decision-making. Leverage AutoML platforms for rapid prototyping and baseline model development. Conduct model evaluation and selection through systematic experimentation in Jupyter notebooks. Develop and maintain Kubeflow pipelines for model training and deployment workflows. Deploy models to development and testing environments on Azure cloud infrastructure. Support potential migration from Azure to GCP and adoption of Model Garden framework. Collaborate with Data Engineering team on infrastructure requirements and data pipeline dependencies. Document technical specifications and model performance metrics. Ensure compliance with healthcare data regulations and pharmacy safety standards. Telecommuting available. Multiple Positions. #J-18808-Ljbffr