AI/ML Engineer Intern

The Cigna Group

. Build and improve reusable machine learning frameworks that accelerate model development and production deployment .

Posted 9/29/2026internshipUnited StatesEntry Level💰 $35 - $43 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and improving machine learning frameworks, designing scalable data pipelines, and developing production-ready APIs. Proficient in collaborating with stakeholders to translate complex needs into effective solutions while working with large healthcare datasets.

Highest-signal resume keywords

Machine Learning Framework DevelopmentData Pipeline DesignPython ProgrammingSQL ProficiencyMLOps Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData EngineeringAnalyticsSoftware EngineeringFeature EngineeringAPI DevelopmentCloud-Native ServicesGenerative AIContainerized DeploymentMonitoring

Soft Skills

CollaborationCommunicationAdaptabilityFeedback Seeking

Tools & Technologies

SparkDatabricks

Industry Keywords

Healthcare DatasetsPharmacy ClaimsMedical ClaimsMember InformationCall TranscriptsSurveysWeb Logs

Tech Stack

Tools & technologies

CloudPythonSparkSQL

About the role

Key responsibilities & impact

Build and improve reusable machine learning frameworks that accelerate model development and production deployment
Design scalable data pipelines and feature-engineering solutions using Python, SQL, Spark, Databricks, or related technologies
Develop production-ready APIs, cloud-native services, and intelligent applications
Contribute to MLOps automation, containerized deployment, monitoring, and reliable engineering practices
Work with large health care datasets, including pharmacy and medical claims, member information, call transcripts, surveys, and web logs
Partner with technical and business stakeholders to translate complex needs into scalable, responsible solutions and communicate outcomes clearly
Explore generative AI, agentic AI, retrieval-augmented generation, document intelligence, or real-time prediction
Document learning and seek feedback while collaborating with engineers, data scientists, architects, and business stakeholders

Requirements

What you’ll need

Pursuing a master's degree or PhD in computer science, statistics, applied mathematics, engineering, operations research, bioinformatics, information systems, computational linguistics, or another quantitative field
At least 1 year of hands-on machine learning, data engineering, analytics, or software engineering experience gained through coursework, research, internships, or professional projects
Working knowledge of Python and SQL, with experience preparing data or building technical solutions
Experience developing or supporting machine learning, data engineering, or software engineering solutions through academic or applied projects
Ability to explain technical work clearly, collaborate across disciplines, and adapt based on feedback and new information
Candidates must be authorized to work in the United States and not require current or future employment sponsorship

Benefits

Comp & perks

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