Machine Learning Engineer, CVS Health

CVS Health

Location:

United States, Richardson

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

72100.00 - 158620.00 USD / Year

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Job Description:

We are seeking a highly skilled and passionate Machine Learning Engineer with a strong foundation in data engineering to join our innovative team. In this role, you will bridge the gap between data and impactful machine learning models, responsible for the entire ML lifecycle and constructing scalable solutions

Job Responsibility:

Design, develop, and deploy scalable and high-performance data pipelines using GCP services (e.g., Dataflow, Dataproc, Pub/Sub, BigQuery, Cloud Storage)
Develop and implement machine learning models using appropriate algorithms and techniques, including model selection, training, tuning, and evaluation
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

Requirements:

2+ years of experience as a Machine Learning Engineer, with a demonstrable understanding of data engineering principles
Strong programming skills in Python and experience with relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Solid understanding of various machine learning algorithms and techniques (e.g., regression, classification, clustering, deep learning)
Experience with data engineering tools and technologies (e.g., Spark, SQL databases, NoSQL databases, cloud platforms like AWS, GCP, or Azure)
Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker)
Experience with containerization technologies (e.g., Docker, Kubernetes)
Excellent problem-solving, communication, and collaboration skills

Nice to have:

Experience with Azure Kubernetes Service (AKS) or Google Kubernetes Engine (GKS) for deploying containerized applications
Proficiency with cloud data platforms such as Snowflake and/or BigQuery
Experience with big data frameworks like Apache Spark, Google Dataproc, or Databricks
Experience with Kafka for real-time data streaming
Experience with REST API/Microservice development using Python
Experience with orchestrating data workflow using automation tools such as Airflow
Retail and/or Healthcare experience and domain knowledge
Exposure to DevOps tools such as Jenkins, GitHub, or GitLab for CI/CD pipeline management
Experience working in multi-developer environment, using version control

What we offer:

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs including wellness screenings, tobacco cessation, weight management programs, confidential counseling, and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Additional Information:

Job Posted:

March 19, 2025

Expiration:

April 28, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Machine Learning Engineer