Machine Learning Biomedical Engineer Jobs in Texas

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary:

CVS Shared Services Resources LLC, a CVS Health company, is hiring for the following role in Irving, TX: Sr Machine Learning Engineer to Design, develop, and implement machine learning models to solve business problems using structured and unstructured data. Build scalable ML pipelines that automate data ingestion, preprocessing, training, evaluation, and deployment. Develop software applications and tools to integrate ML models into production environments. Collaborate with data scientists and software developers to refine model requirements and translate prototypes into robust software solutions. Write clean, efficient, and well-documented code using programming languages such as Python, Java, or C++. Optimize ML models for performance and accuracy using hyperparameter tuning, feature selection, and model validation techniques. Deploy machine learning models to cloud or on-prem environments using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, GCP). Monitor and maintain model performance in production, implementing model retraining and version control as necessary. Conduct code reviews and adhere to software development best practices including CI/CD, version control, and unit testing. Develop APIs and microservices to serve ML models and support application integration. Perform data analysis and data engineering tasks including cleaning, transformation, and storage using SQL, Spark, or Pandas. Collaborate with cross-functional teams including product managers, analysts, and engineers to identify and prioritize ML use cases. Utilize and contribute to MLOps frameworks to manage the lifecycle of ML models efficiently. Ensure compliance with data privacy and security standards when handling sensitive datasets. Document machine learning systems, workflows, and decisions for internal knowledge sharing and regulatory requirements. Continuously research and evaluate new ML algorithms and technologies to improve model accuracy and system efficiency. Benchmark different algorithms for scalability and performance under different data and system conditions. Assist in defining the architecture of software systems involving machine learning components. Participate in sprint planning, stand-ups, and other Agile ceremonies to ensure timely and coordinated delivery of ML solutions.

Remote work permitted but must live within commuting distance of designated office location and remain available to report to office as needed and required. Multiple openings.

Requirements:

Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following: CI/CD, Jenkins, GIT, or DevOps; XML, JSON, HTML, CSS, or JavaScript; Agile methodologies or SAFe Software Development Principles; Web Service APIs; Docker or Kubernetes; JIRA, Rally, or Confluence; Data analytics on large data sets in healthcare, business, or retail sector; Machine learning algorithms; Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; Developing and deploying predictive models or ML systems in a cloud environment (GCP, AWS, or Azure); Machine learning operations such as model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, and orchestration and; Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design.

Pay Range: $112923.00/year to $185400.00/year.

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. This position also includes an award target in the company's equity award program.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

Additional details about available benefits are provided during the application process and on Benefits Moments.

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