CVS Health is hiring a Sr Machine Learning Engineer to design and implement ML solutions that automate pharmacy operations and improve patient care outcomes.

Company: CVS Health

Role: Sr Machine Learning Engineer

Location: Work at Home, Rhode Island, United States

Experience:

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

Key Skills:

CI/CD
Jenkins
GIT
DevOps
JavaScript
Python
Node.js
Docker
Kubernetes
R
Spark
PyData ecosystem
Healthcare
Retail
Backend services
Code reviews
Software development
Feature engineering
Model training
Hyperparameter tuning
Distributed model training
Supervised learning
Unsupervised learning
Quantitative analysis
Clustering
Regression
Pattern recognition
Data architectures
Data pipelines
Distributed computing engines
Machine learning infrastructure
Predictive models
ML systems
Cloud environment
GCP
AWS
Azure

Qualification:

Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field

Role Focus:

Design and implement ML solutions that automate pharmacy operations and improve patient care outcomes
Partner 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
Lead requirements gathering sessions with Lead Data Scientist to scope pharmacy-specific ML projects
Design and develop ML models for pharmacy growth and operations
Build and optimize feature engineering pipelines for pharmacy-specific use cases
Implement diverse ML approaches
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

Other:

Pay Range: $ /year to $ /year
Eligible for a CVS Health bonus, commission or short-term incentive program
Award target in the company’s equity award program
Medical, dental, and vision benefits
401(k) retirement savings plan
Employee Stock Purchase Plan
Fully-paid term life insurance plan
Short-term and long term disability benefits
Paid Time Off (PTO)
Paid holidays
Well-being programs
Education assistance
Free development courses
CVS store discount
Discount programs with participating partners

Sr Machine Learning Engineer

Skills Required

Description

Experience:

Key Skills:

Qualification:

Role Focus:

Other:

Prepare for this role

More Transformers jobs