Lead ML/AI 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.

Position Summary

As a Lead ML / AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML / AI and Feature lifecycle management on Azure / Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.

Key responsibilities include :

• Support the deployment of ML / AI pipelines on the platform.
• Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.
• Ability to translate functionality into scalable, tested, and configurable platform architecture and software.
• Establish strong software engineering principles for development in Python on the Azure / Google Cloud Platform.
• Deliver features aligned to enterprise AutoML, Feature Engineering, and MLOPS capability.
• Innovative thinking and great communication skills.
• Strong ownership of deliverables, with design decisions aligned to scale and industry best practices.
• Provide technical leadership and mentorship to a team of machine learning engineers. Collaborate with cross-functional teams to align ML initiatives with overall business goals.
• Design, implement, and optimize machine learning algorithms and models. Stay abreast of the latest advancements in ML research and apply them to solve complex business problems.
• Architect and implement scalable and efficient machine learning systems. Collaborate with software engineers to integrate ML models into production systems.
• Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models.
• Develop strategies for deploying machine learning models at scale. Ensure models are integrated into production systems with high reliability and performance.
• Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements.

Location : Prefers hybrid in office 3 days per week every other week in Dallas / Irving, Chicago, Boston / Wellesley, NYC, Hartford CT, Blue Bell PA, Scottsdale AZ, or Woonsocket RI.

Will consider 100% remote.

Required Qualifications

• 6+ years of experience in analytics domains, and deep understanding of ML operationalization and lifecycle management.
• 5+ years of deploying and monitoring analytical assets in batch / real-time business processes.
• 5+ years of SQL & Python programming experience leveraging strong software development principles.
• Experience in designing and developing AI applications and systems.
• Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub / Sub, Kafka, Spark Streaming etc.)
• Experience with REST API / Microservice development using Python / Java.
• Experience with deployment / scaling of apps on containerized environment (AKS and / or GKE)
• Experience with Snowflake / BigQuery, Google Dataproc / Databricks or any big data frameworks on Spark
• Experience with RDBMS and NoSQL Databases and hands-on query tuning / optimization.

Preferred Qualifications

• Hands on experience in building solutions using cloud native services (Azure, GCP preferred)
• Understanding of DevOps, Infrastructure as Code, automation for self service

Education

• Required : Bachelor’s degree in computer science, Engineering, Statistics, Physics, Math, or related field or equivalent experience
• Preferred : Master’s Degree or PhD with coursework focused on advanced algorithms, mathematics in computing, data structures, etc.

Pay Range

The typical pay range for this role is :

$118,450.00 - $267,800.00

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.