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# Machine Learning Engineer

- **Company:** CVS Health
- **Location:** United States (Remote available)
- **Salary:** $96,034.0 - $144,200.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Data Analysis, Computer Engineering, Data Distribution Service, Python (Programming Language), Machine Learning, Node.Js, Pattern Recognition, Enterprise Software Applications, Feature Engineering, Pytorch, Apache Spark, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, Unsupervised Learning
- **Published:** June 22, 2026
- **Apply:** https://dejobs.org/x/x/EA7688F16CD24BDE99567836F4A0C370/job/

## About the Role

Requirements: Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, Data Science, Statistics, Mathematics, Analytics, or a related field and completion of a university-level course, research project, internship, or thesis in each of the following: Java, Python, or Node.js; NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP); Machine learning, statistical analysis, and predictive modeling; Machine learning algorithms; Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; Quantitative analysis techniques, including clustering, regression, and pattern recognition; Contributing to large-scale applications development, data science, or data analytics projects; and Developing data science products.

## Description

Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Machine Learning Engineer to Design, develop, and implement enterprise ML products and platforms for data scientists; develop, test, and deploy ML pipelines; apply data modeling, machine learning, predictive modeling, and statistical analysis to extract and analyze information and build end-to-end solutions to meet organizational objectives; research, experiment with, implement, train, and retrain ML algorithms and tools; engage with business stakeholders to translate requirements into technical solutions leveraging ML models and technologies; analyze data and identify differences in data distribution that could impact model performance in real-world use cases using industry leading tools, technologies and best practices; design ML approach, apply appropriate techniques, and develop custom algorithms as needed to address business problems and predict outcomes of interest; apply sampling
techniques and investigate adversarial trends, identify behavior patterns, and respond with logic changes; compare models using statistical performance metrics and ensure accuracy of business metrics; visualize, interpret, and report data findings to internal clients and leadership; mentor junior team members; and collaborate with Data Engineers, Data Scientists, and Product Managers to drive towards business objectives and key performance indicators (KPIs). Telecommuting available. Multiple positions.


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