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Senior Machine Learning Operations Engineer

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

92700.00 - 222480.00 USD / Year

Job Description:

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. An exciting journey is just beginning—continue reading to find out more! At CVS, we leverage machine learning to effectively address customer needs and enhance the shopping experience by offering a broad selection of products that cater to various preferences and lifestyles. By harnessing our comprehensive ExtraCare® data and advanced predictive analytics, we forecast shopper preferences, market trends, and seasonal demands, ensuring that we stock in-demand and relevant items while optimizing inventory levels to boost sales and minimize waste. Our data-driven strategy not only enhances product availability but also drives sales performance, allowing CVS to successfully cater to the varied needs of our consumers while maximizing brand engagement.

Job Responsibility:

  • Partner closely with data scientists to understand model specifications
  • Create and manage CI/CD pipelines for machine learning models
  • Oversee the end-to-end lifecycle of machine learning models
  • Track model performance using relevant metrics
  • Conduct performance analysis and optimization
  • Create and maintain automated workflows for model training and inference
  • Optimize the underlying infrastructure for machine learning operations
  • Establish version control practices for models, datasets, and code
  • Conduct code reviews and contribute to the development of engineering frameworks
  • Develop and maintain comprehensive documentation for model deployment processes
  • Perform root cause analysis for model failures
  • Offer support for troubleshooting and resolving issues
  • Oversee and optimize cloud resources
  • Ensure adherence to security best practices and data privacy regulations
  • Mentor and guide junior engineers

Requirements:

  • 5+ years of experience in the IT Industry
  • 2 years specifically focused on Machine Learning
  • Strong programming skills in Python or R
  • Experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Strong understanding of machine learning algorithms and techniques
  • Proficiency in cloud platforms such as Azure or Google Cloud Platform (GCP)
  • Experience with orchestration tools like Kubeflow and Apache Airflow
  • Experience with containerization technologies like Docker and Kubernetes
  • Knowledge of CI/CD practices and tools
  • Understanding of monitoring and logging tools
  • Familiarity with data processing frameworks such as Pandas, Dask, and Spark
  • Excellent problem-solving skills
  • Ability to work collaboratively in a team environment
  • 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
What we offer:
  • Affordable medical plan options
  • 401(k) plan with matching company contributions
  • Employee stock purchase plan
  • No-cost programs including wellness screenings, tobacco cessation and 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:
April 23, 2025

Expiration:
May 26, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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