Job Description

Locations

• TX - Irving

Skills Required

• common ML librariesintermediate
• developing Analytical pipelinesintermediate
• open-source experience with either Dockerintermediate
• CI/CD practicesintermediate
• Computer Scienceintermediate

Required Qualifications

• A combination of 2+ years of experience developing production-level software, or contributing to open source with one or more languages, such as Python, R, Java, etc. (experience, 2 years)
• 2+ 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.) (experience, 2 years)
• 2+ years of experience with developing Analytical pipelines (using languages such as SQL and PySpark) against Cloud Data Warehouses such as BigQuery, Snowflake or Redshift (experience, 2 years)
• 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders. (experience)
• 1+ year(s) of experience independently managing deliverables. (experience, 1 years)
• 1+ year(s) of experience with open-source experience with either Docker or Kubernetes. (experience, 1 years)
• Knowledge of CI/CD practices and tools, including Jenkins, GitLab or GitHub to automate the deployment and testing of machine learning models, ensuring rapid and reliable updates. (experience)
• A combination of 2+ years of experience developing production-level software, or contributing to open source with one or more languages, such as Python, R, Java, etc. (experience, 2 years)
• 2+ 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.) (experience, 2 years)
• 2+ years of experience with developing Analytical pipelines (using languages such as SQL and PySpark) against Cloud Data Warehouses such as BigQuery, Snowflake or Redshift (experience, 2 years)
• 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders. (experience)
• 1+ year(s) of experience independently managing deliverables. (experience, 1 years)
• 1+ year(s) of experience with open-source experience with either Docker or Kubernetes. (experience, 1 years)
• Knowledge of CI/CD practices and tools, including Jenkins, GitLab or GitHub to automate the deployment and testing of machine learning models, ensuring rapid and reliable updates. (experience)
• 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 (experience)

Responsibilities

• Work closely with data scientists, software developers and product managers to take ML-powered services from inception to production.
• Lead exploration, design and execution of machine learning models and frameworks that deliver value to our users.
• Build data pipelines and leverage high-quality datasets to power your Machine learning models.
• Utilize modern software and data-engineering stacks to enable training, deployment, and lifecycle management of ML models.
• Lead the performance and ongoing enhancements of your products.
• Work closely with data scientists, software developers and product managers to take ML-powered services from inception to production.
• Lead exploration, design and execution of machine learning models and frameworks that deliver value to our users.
• Build data pipelines and leverage high-quality datasets to power your Machine learning models.
• Utilize modern software and data-engineering stacks to enable training, deployment, and lifecycle management of ML models.
• Lead the performance and ongoing enhancements of your products.

Benefits

• general: 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.
• general: Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
• general: We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
• general: Additional details about available benefits are provided during the application process and on Benefits Moments.
• general: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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