Sr Machine Learning Engineer

CVS Health is a company dedicated to shaping a more connected and compassionate health experience. They are seeking a Sr Machine Learning Engineer to design and implement machine learning solutions that automate pharmacy operations and improve patient care outcomes. The role involves collaborating with pharmacy stakeholders, conducting feasibility analyses, and developing ML models to drive efficiencies in pharmacy operations.

Responsibilities:

• 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

Requirements:

• Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field and two (2) years of experience in the job offered or related occupation
• Requires two (2) years of experience in each of the following:
• CI/CD, Jenkins, GIT, and DevOps
• JavaScript; Python, and Node.js
• Docker or Kubernetes
• R, Spark, and PyData ecosystem
• Domain support for healthcare or retail organization
• Developing backend services, performing code reviews, and collaborating with peers on software development solutions
• Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation
• Quantitative analysis techniques, including clustering, regression, and pattern recognition
• Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design
• Developing and deploying predictive models or ML systems in a cloud environment (GCP, AWS, or Azure)