Senior Machine Learning Operations Engineer, CVS Health

CVS Health

Location:
United States, Irving, Texas

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

92700.00 - 185400.00 USD / Year

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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. 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, driving a seamless transition for model launch from development to production
Create and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning models to automate the deployment process
Oversee the end-to-end lifecycle of machine learning models, including development, validation, deployment, monitoring, and retraining
Track model performance using relevant metrics and techniques, such as accuracy, and precision score, to ensure alignment with business objectives and address issues related to model drift and data quality
Conduct performance analysis and optimization through techniques like hyperparameter tuning and resource allocation strategies
Create and maintain automated workflows for model training and inference to enhance efficiency
Optimize the underlying infrastructure for machine learning operations, including cloud services and container orchestration, to ensure scalability and performance
Establish version control practices for models, datasets, and code to ensure reproducibility and facilitate collaboration
Conduct code reviews and contribute to the development of engineering frameworks and best practices for model deployment and maintenance
Develop and maintain comprehensive documentation for model deployment processes, architecture, and workflows
Perform root cause analysis for model failures and implement corrective actions to improve reliability
Offer support for troubleshooting and resolving issues related to model performance and infrastructure
Oversee and optimize cloud resources for cost-effective model training and deployment
Ensure adherence to security best practices and data privacy regulations in all machine learning operations
Mentor and guide junior engineers, providing support in their professional development and helping them enhance their technical skills.

Requirements:

5+ years of experience in the IT Industry, with at least 2 years specifically focused on Machine Learning
Strong programming skills in languages such as Python or R, along with experience in using machine learning libraries and frameworks like TensorFlow, PyTorch, or Scikit-learn
Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning
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 orchestration tools such as Kubernetes
Knowledge of CI/CD practices and tools, including Jenkins, GitLab or GitHub
Understanding of monitoring and logging tools (e.g., Prometheus, or Grafana)
Familiarity with data processing frameworks such as Pandas, Dask, and Spark
Excellent problem-solving skills and the 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, 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.

Additional Information:

Job Posted:
June 20, 2025

Expiration:
August 25, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Machine Learning Operations Engineer

CVS Health

Location:United States, Irving, Texas

Category:IT - Software Development

Contract Type:Not provided