Rapid AI/ML Prototyping Engineer

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose : Bringing our heart to every moment of your health.

This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand with heart at its center our purpose sends a personal message that how we deliver our services is just as important as what we deliver.

Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

A Brief Overview

Extracts knowledge and insights from data in order to investigate complex business problems through a range of data preparation, modeling, analysis and / or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and / or economic forecasting.

Key skills include data analysis techniques (e.g., A / B testing, association rule learning, cluster analysis, pattern recognition and predictive modeling), data analysis and visualization software (e.

g., Domo, Looker, PowerBI, Qlik, Tableau, SiSense), object-oriented programming languages (Java, Python, R, Ruby, Scala, C++) and / or data engineering skills (relational or NoSQL databases, ETL tools).

What You Will Do

• Drives the development and implementation of advanced machine learning models and algorithms to solve complex healthcare problems, leveraging techniques such as predictive modeling, deep learning, and natural language processing.
• Collaborates with multiple departments, including data scientists, clinicians, and Information Technology (IT) professionals, to understand business requirements, define machine learning projects, and prioritize initiatives based on strategic objectives.
• Interfaces with stakeholders to define performance metrics and evaluation methodologies for machine learning models, contributing to rigorous testing, validation, and performance monitoring of models to ensure accuracy and reliability.
• Designs and implements scalable and efficient machine learning systems, including data pipelines, preprocessing, feature engineering, and model training, ensuring the quality and integrity of healthcare data used for analysis.
• Advises on the optimization and improvement of data pipelines, model training processes, and infrastructure to enhance efficiency, scalability, and performance of machine learning solutions.
• Consults on and presents technical findings, insights, and recommendations to both technical and non-technical stakeholders, contributing to the dissemination and application of machine learning insights in the healthcare industry.
• Ensures compliance with data privacy regulations, ethical guidelines, and industry standards in machine learning engineering, supporting the development of protocols and practices for model interpretability, fairness, and transparency.
• Manages team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development.
• Stays up-to-date with the latest advancements in machine learning and related technologies, continuously exploring and evaluating new algorithms and methodologies to enhance machine learning capabilities in healthcare applications.

Responsibilities

• Develop and iterate on ML project prototypes rapidly to test hypotheses, validate concepts, and demonstrate capabilities.
• Build functional elements of a full-stack application as needed to support various projects and use cases.
• Prepare and preprocess data sets for use in ML models, ensuring data quality and relevance.
• Work with cloud and infrastructure teams to provision necessary resources for PoCs and development projects.
• Work closely with business, data scientists, researchers, product managers, and other engineers to translate requirements into functional prototypes.
• Stay updated on the latest developments in general software and ML tools / frameworks to enhance prototyping processes and develop proof-of-concept projects to demonstrate the potential of ML applications within the business.
• Quickly integrate feedback from stakeholders to refine prototypes and select tools and frameworks that facilitate rapid development.
• Provide technical support to cross-functional teams in understanding and integrating ML prototypes and document the development process, including successes and failures, to streamline future prototyping efforts.

Required Qualifications

• 7+ years of total experience within IT Infrastructure
• 5+ years as ML Engineer, AI Engineer, Data Science, Data Engineering roles, or in a combination of such roles

Preferred Qualifications

• Previous experience in prototyping within an AI / ML context
• Adept at problem solving, decision-making skills, collaboration and teamwork
• Growth mindset (agility and developing yourself and others) skills
• Adept at execution and delivery (planning, delivering, and supporting) skills

Education

Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)

Pay Range

The typical pay range for this role is :

$124,372.50 - $247,200.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.

The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.

This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

This position also includes an award target in the company’s equity award program.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.

The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees.

The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits.

CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners.

As for time off, Company employees enjoy Paid Time Off ( PTO ) or vacation pay, as well as paid holidays throughout the calendar year.

Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.