CVS Health

Bringing our heart to every moment of your health.

Senior Full Stack Engineer, AI/ML

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 10,001+Since 1963H1B No SponsorCompany SiteLinkedIn

Location

Arizona + 4 moreAll locations: Arizona, Connecticut, Illinois, Massachusetts, Texas

Posted

22 days ago

Salary

$118.5K - $260.6K / year

Bachelor Degree7 yrs expExperience acceptedEnglishAngularAnsibleAWSAzureCloudDockerDynamo DBGoogle Cloud PlatformJava ScriptKubernetesMongo DBMy SQLNode.jsNo SQLPostgresPythonPy TorchReactRedisScikit LearnSQLTensorflowTerraformType Script

Job Description

• Design and build scalable full‑stack and automation applications using modern frameworks (React, Angular, Node.js, Python) with a focus on performance, security, and reliability • Develop and operationalize AI/ML models to enhance network performance, predict issues, and detect anomalies before they impact operations • Create intelligent chatbots and conversational AI solutions (OpenAI, Azure AI, Dialogflow) to automate network support, incident resolution, and knowledge retrieval • Lead network automation and data engineering efforts by integrating APIs, orchestrating workflows (Ansible, Terraform, Cisco NSO), and transforming telemetry data into actionable insights • Enable end‑to‑end DevOps and cross‑functional collaboration by implementing CI/CD pipelines, containerizing applications (Docker, Kubernetes), and partnering across Network, Cloud, AI, and Security teams to drive innovation

Job Requirements

  • 7+ years of professional software development experience using Python, JavaScript/TypeScript
  • 2+ years integrating ML models into production applications (not just training models in notebooks) using frameworks like TensorFlow, PyTorch or Scikit-learn
  • Proven track record delivering scalable web applications in production environments
  • 2+ years hands-on experience with at least one major cloud platform: AWS, Azure, or GCP
  • 2+ years experience with SQL databases (PostgreSQL, MySQL, or similar) and NoSQL databases (MongoDB, Redis, or DynamoDB)

Benefits

  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • 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 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

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