Senior AI/ML Analytics Engineer - Supply Chain

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary

We are seeking a self-driven Software Engineer who has passion to adopt and work on new cloud AI technologies. As an AI Software Engineer, you’ll be part of our rapidly growing analytics engineering team and help to build the next generation of AI & ML solutions. You’ll have the chance to partner with Data Science and Business in a variety of transformations programs and impact future of Supply Chain AI and Analytics like Inventory Optimization and Demand Sensing, Transportation and Cost to Service Optimization. Enabling them to design, build, and deploy new and innovative solutions you will be working on billions of records of retail and healthcare data. 

We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organization with AI Innovation.

• Develop scalable data applications on Cloud Platform working in partnership with Data Science teams and Data Engineering Leaders.
• Translate requirements into engineering design artifacts and data models.
• Build cost-effective and high-performing engineering solutions using standard tools & framework.
• Automate Real-time, API or Batch data integrations from internal and external systems.
• Use software development best practices like code review, continuous integration, and continuous delivery (CI/CD), release management, and version control.
• Troubleshoot complex technical issues independently, demonstrating a strong ability to diagnose and resolve problems efficiently with minimal guidance.
• Adopt Enterprise Security and Compliance standards.
• Support and Optimize Production Data Operations.
• Adopt Agile mindset approach in building and enhancing data products.

Required Qualifications

• 4+ years of hands-on experience with SQL and Python development.
• 4+ years of software development, experience on full stack practices and standards to develop robust and maintainable software. 
• Experience in every part of the software development life cycle with solution design, implementation, and deployment.
• Expertise in cloud services, particularly Azure or GCP.
• Experience in Implementing AI solutions that integrate with existing business systems to enhance functionality and user interaction. Ideally working with Co Pilot.
• Experience building automated data integrations pipelines.
• Experience working in agile teams with a focus on rapid delivery.
• Strong collaboration skills for aligning cross-functional teams on priorities and deliverables.
• Experience with setting coding standards, performing code reviews & mentoring junior developers.
• Experience overseeing project delivery by mentoring junior technical developers.
• Strong critical thinking, communication, and problem-solving skills

Preferred Qualifications

• 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. Ideally have working experience with GitHub, Jenkins, Docker and/or Kubernetes.
• Experience working in multi-developer environment, using version control.

Education

• Required: bachelor’s degree in computer science, Engineering, Machine Learning, or related field or equivalent experience. 
• Preferred: master’s degree with coursework focused on advanced algorithms, mathematics in computing, data structures, etc.

Pay Range

The typical pay range for this role