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The Cigna Group
The Cigna Group
HealthcareHealthcare InsurancePharmaceuticals
The Cigna Group is a global healthcare company operating through Cigna Healthcare and Evernorth Health Services. Its work combines healthcare services, health insurance, and pharmacy benefits management to support the health and wellbeing of customers, clients, and patients. The company also focuses on ethical healthcare and artificial intelligence practices, health equity, responsible environmental and social governance, and innovation in how care is delivered.
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AI/ML Engineer Intern at The Cigna Group (Hybrid)

Join The Cigna Group as an AI/ML engineering intern developing scalable machine learning frameworks, data pipelines, and cloud services. Support Evernorth Health Services’ healthcare AI and MLOps initiatives.

USUnited StatesMOMissouriNJNew JerseyTXTexas
$35 – $43 / hour
HybridInternshipEntry levelEnglish RequiredMachine Learning Engineer
CloudPythonSparkSQL

Description

  • Develop reusable machine learning frameworks that speed model development and production deployment
  • Create scalable data pipelines and feature-engineering solutions with Python, SQL, Spark, Databricks, or comparable technologies
  • Build production-ready APIs, cloud-native services, and intelligent applications
  • Support MLOps automation, containerized deployments, monitoring, and dependable engineering practices
  • Analyze large healthcare datasets such as pharmacy and medical claims, member records, call transcripts, surveys, and web logs
  • Collaborate with technical and business partners to turn complex requirements into scalable, responsible solutions and communicate results effectively
  • Investigate generative AI, agentic AI, retrieval-augmented generation, document intelligence, and real-time prediction use cases
  • Record your learning, incorporate feedback, and work closely with engineers, data scientists, architects, and business stakeholders

Requirements

  • Currently pursuing a master’s degree or PhD in computer science, statistics, applied mathematics, engineering, operations research, bioinformatics, information systems, computational linguistics, or another quantitative discipline
  • At least one year of practical experience in machine learning, data engineering, analytics, or software engineering through coursework, research, internships, or professional projects
  • Working knowledge of Python and SQL, including experience preparing data or developing technical solutions
  • Experience creating or supporting machine learning, data engineering, or software engineering solutions through academic or applied projects
  • Ability to communicate technical work clearly, collaborate across disciplines, and respond constructively to feedback and new information
  • Must be authorized to work in the United States without requiring current or future employment sponsorship

Benefits

  • Professional development opportunities
  • Networking opportunities
  • Collaboration with experienced engineers, data scientists, architects, and business stakeholders
  • Twelve-week summer internship
  • Full-time schedule of 40 hours per week
  • Hybrid work schedule
  • Home internet requirement and support for occasional or permanent remote work, with cable broadband or fiber optic service providing at least 10 Mbps download and 5 Mbps upload

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