Machine Learning Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Irving, TX
Posted: 6 days ago
Closes: Jul 6, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $217k

$161k most similar roles pay here $271k

This listing doesn't post a salary. Most similar roles pay $183,665–$249,750.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 409 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 135 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer

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Aetna Resources, LLC., a CVS Health company, seeks a Machine Learning Engineer in Irving, TX to build and deploy AI/ML models for process automation and data analysis. This role involves applying machine learning techniques, predictive modeling, and statistical analysis to develop end-to-end solutions that meet organizational objectives. The engineer will engage with business stakeholders to translate requirements into technical solutions, analyze data distributions, design ML approaches, and develop custom algorithms to address specific business challenges. Key responsibilities include comparing models using performance metrics, visualizing data findings, and collaborating with Data Engineers, Data Scientists, and Product Managers to drive towards KPIs. The ideal candidate has a Master’s degree in Computer Science or related field and two years of experience, with proficiency in Java, Python, Node.js, JavaScript, REST/SOAP APIs, MySQL, SAS, and SQL programming.

Skills

Python Java Node.js JavaScript REST SOAP MySQL SAS SQL

What you'll do

Apply data modeling and machine learning techniques to build end-to-end solutions for organizational objectives.
Research, implement, and train ML algorithms to solve business problems and predict outcomes accurately.
Engage with stakeholders to translate requirements into technical solutions using ML models and technologies.
Analyze data distribution differences that impact model performance in real-world scenarios.
Design custom ML approaches and develop algorithms to address specific business challenges.
Visualize and interpret data findings, reporting insights to internal clients and leadership effectively.
Collaborate with Data Engineers, Data Scientists, and Product Managers to drive towards KPIs.

What we're looking for

Master’s degree in Computer Science, Engineering, Machine Learning, Statistics, Mathematics, Analytics, Information Technology, or related field
2+ years of experience in machine learning, data modeling, predictive analytics, and statistical analysis
Proficiency in Java, Python, Node.js, JavaScript, REST, SOAP, Webservice APIs, MySQL, SAS, SQL
Experience designing ML approaches, developing custom algorithms, and addressing business problems
Ability to engage with stakeholders, translate requirements into technical solutions, and collaborate across teams

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