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Machine Learning Engineer
CVS HealthPosted 10/19/2026full-timeNew York City • New York • United StatesJuniorMid-Level💰 $86,520 - $173,040 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying machine learning models and data-intensive systems, with a strong foundation in Python, SQL, and MLOps. Proficient in collaborating with stakeholders to deliver analytics solutions and has experience in cloud environments, particularly Google Cloud Platform.
Highest-signal resume keywords
Machine Learning Model DevelopmentPython ProficiencyMLOps ExperienceCloud Environment ExperienceData Science Best Practices
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build and facilitate machine learning and Generative AI solutions across large-scale systems and campaigns
- Ensure deployment and updates in collaboration with data engineering
- Develop and participate in presentations and consultations with existing and prospective stakeholders on analytics results and solutions
- Collaborate with internal and external peers and managers to exchange complex information related to areas of specialization
Requirements
What you’ll need- 2 or more years of experience building end-to-end machine learning models and data-intensive systems in production, or PhD with a tech internship as MLE/Software Developer
- 2 or more years of Data Science experience focused on software development best practices, or PhD with a tech internship as MLE/Software Developer
- 3 or more years of proficiency in Python, SQL, and MLOps, or PhD with a tech internship as MLE/Software Developer
- 3 or more years of experience in cloud environments as MLE/Software Developer
- Master’s degree in Computer Science, Mathematics, Statistics, Economics, Physics, Engineering, or a related discipline, with 2 or more years of progressively complex related experience, or PhD with a tech internship as MLE/Software Developer
- Ability to design and build distributed data-intensive products
- Proficiency in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling, with in-depth specialization in certain areas
- Experience with Google Cloud Platform (GCP) is preferred
- Familiarity with Generative AI and agentic design is preferred
- Front-end development and React coding experience is preferred
- Experience in Ad-tech is preferred
Benefits
Comp & perks- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources supporting physical, emotional, and financial well-being
- CVS Health bonus, commission or short-term incentive program
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningStatistical AnalysisPredictive ModelingMathematical AnalysisData EngineeringSoftware Development Best PracticesDistributed Systems DesignGenerative AISQLFront-End Development
Soft Skills
CollaborationCommunicationPresentation Skills
Tools & Technologies
Google Cloud PlatformReact
Industry Keywords
Ad-TechData-Intensive SystemsAnalytics SolutionsStakeholder Engagement