Senior Machine Learning Engineer, CVS Health

CVS Health

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

83430.00 - 222480.00 USD / Year

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Job Description:

Cyber Defense within CVS Health is seeking a well experienced Senior Machine Learning Engineer to join and technically lead our growing team. Senior Machine Learning Engineer will be responsible for developing and deploying security specific machine learning solutions following CVS Health specific business and technology requirements. Additionally, this Senior Machine Learning Engineer will help to define, drive and deliver all aspects of the data science product development lifecycle, from solution architecting, programming, testing, implementation, delivery of data science analytics products.

Job Responsibility:

Coordinate advanced data science projects and develops deliverables, taking ownership of assigned tasks and ensuring their successful completion
Work closely with data scientists, software developers and product managers to take ML-powered services from inception to production
Lead exploration, design and execution of machine learning models and frameworks that deliver value to our users
Build data pipelines and leverage high-quality datasets to power your Machine learning models
Utilize modern software and data-engineering stacks to enable training, deployment, and lifecycle management of ML models
Lead the performance and ongoing enhancements of your products

Requirements:

5+ years of expertise in machine learning, statistical analysis, security, and network data to model risk-driven models of workforce behavior
5+ years of programming experience in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch
5+ years of customer interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical audiences
5+ years' experience with Gen AI/LLM/NLP/MLOps or similar methodologies
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
1+ year(s) of experience independently managing deliverables
Bachelor's degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)

Nice to have:

Experience developing computational methods and algorithms
Experience in software development
Experience developing and applying data science methods to anomaly detection and/or times series problems
Experience in Cloud computing environment
Master's degree in data science, Mathematics, Statistics

What we offer:

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
No-cost wellness screenings
Tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Additional Information:

Job Posted:
September 26, 2025

Expiration:
October 31, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Senior Machine Learning Engineer