At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary:

If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.

As a Machine Learning Engineer, you will design, develop, and operationalize highly complex and large-scale Machine Learning Solutions on the Google Cloud Platform. In addition to the traditional machine learning toolset, you will work with large language models, vector stores, deep learning, and other advanced tools to handle, analyze, and generate insights from large volumes of data.

You will be working with a mature data science organization at a Fortune 6 company. You will be responsible for operationalizing the analytical workloads and ML Pipelines using GCP AI/ML Services to support traditional ML use cases, as well as NLP, NLM, audio or image processing. You will support the deployment of advanced algorithms and applications, follow architecture and engineering best practices, and deliver software that is well documented, error free, scalable and performance optimized.

As a Machine Learning Engineer, you will:

• Develop and implement machine learning models using appropriate algorithms and techniques. This includes model selection, training, tuning, and evaluation.

• Design, develop, and deploy scalable and high-performance data pipelines using GCP services (e.g., Dataflow, Dataproc, Pub/Sub, BigQuery, Cloud Storage)

• Use software development best practices like code review, continuous integration, and continuous delivery (CI/CD), release management, and version control.

• Develop and maintain data quality checks and monitoring systems to ensure data accuracy and completeness.

• Collaborate with data scientists and machine learning engineers to optimize data for model training and inference.

• Build and maintain data infrastructure for AI/ML workloads, including feature stores, model registries, and experiment tracking systems.

• Automate data pipelines and infrastructure using tools like Apache Airflow or similar orchestration platforms.

• Troubleshoot and resolve data-related issues and performance bottlenecks.

• Stay up to date with the latest advancements in data engineering, cloud computing, and AI/ML technologies.

• Work to enhance existing test automation processes, improving efficiency, and reducing manual intervention across environments.

• Partner with teams and serve as cross-functional expert to provide bench-marked solutions to multiple, complex technical projects/initiatives using multiple interlocking technologies.

• Implement data quality checks and monitoring to ensure data accuracy and reliability for model training and prediction.

As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.

Required Qualifications:

• 1+ years of experience with one or more modern languages, such as Python, Java, etc.

• 1+ years of experience with common ML libraries (i.e. Scikit-learn, XGBoost, NumPy, Keras, PyTorch, etc.) and ML algorithms (i.e. clustering, decision trees, boosting, etc.)

• 1+ years of experience with developing Analytical pipelines (using languages such as SQL and PySpark) against Cloud Data Warehouses such as BigQuery, Snowflake or Redshift

Preferred Qualifications:

• Experience with complex systems and solving challenging analytical problems

• Effective written and verbal communication skills

• Experience with ML operationalization and data and model lifecycle management

• Experience deploying and monitoring analytical assets in batch/real-time business processes

• Experience in cloud environments (GCP preferred): bucket storage, BigQuery, Kubeflow, DataProc, VertexAI, DataFusion

• Understanding of DevOps principles and tools (such as GitHub, Jenkins, Circle CI, Argo CD, Artifact Registry, Nexus)

• Experience in developing distributed data processing pipelines using libraries like Apache Spark or Beam.

• Understanding of dependency management and containerization of applications supporting analytical workloads (i.e. Dockers, GKE)

• Exposure to developing RESTFUL APIs against enterprise data assets and features to support real time operational ML pipelines. Experience with FastAPI or Flask is preferred.

• Experience in data visualization tools and libraries

• Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge

Education:

Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred.

Anticipated Weekly Hours

Time Type

Pay Range

The typical pay range for this role is:

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. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.