Senior Machine Learning Engineer - Price Transparency

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

The Analytics & Behavior Change team is seeking a highly motivated and innovative Senior Machine Learning Engineer to play a critical role in the development and enhancement of a cutting-edge healthcare cost estimation tool. This individual will develop data and ML-enabled features for a transformative industry leading cost estimator tool for Aetna members. The candidate will create tools that simplify the understanding of healthcare costs and benefits leveraging cutting edge technologies (e.g., genAI). This tooling will empower members to make informed decisions, ultimately leading to better health outcomes. The ideal candidate will have experience and passion for improving healthcare outcomes utilizing analytics and technology.

As a Senior 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 responsible for operationalizing the analytical workloads and ML Pipelines using GCP AI/ML Services. 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.

Required Qualifications

• A combination of 3+ years of experience developing production-level software, or contributing to open source with one or more modern languages, such as Python, Java, etc.

• 3+ 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.)

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

• 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders

• 1+ year(s) of experience independently managing deliverables

Preferred Qualifications

• 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

• Experience in an agile development team; helps Tech Lead make decisions

• Experience with complex systems and solving challenging analytical problems

• Effective written and verbal communication skills

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

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$111,240.00 - $222,480.00

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 eligib