INTERNSHIP DETAILS

Intern - AI associate

CompanyVirtusa
LocationUnited States
Work ModeOn Site
PostedApril 14, 2026
Internship Information
Core Responsibilities
The intern will analyze natural language and quantitative problems to develop and optimize machine learning models. They will also research and implement advanced AI solutions, including generative AI and agentic architectures, while ensuring model explainability.
Internship Type
full time
Company Size
17726
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
Virtusa is a global product and platform engineering services company that makes experiences better with technology. We help organizations grow faster, more profitably, and more sustainably by reimagining enterprises through domain-driven solutions. We combine strategy, design, and engineering, backed by unmatched expertise at the intersection of industry, business, and technology to generate real-world business impact for clients. Headquartered in Massachusetts with global delivery centers, Virtusa provides a broad range of services, solutions, and assets, including strategy and design, AI advisory and services, digital engineering, data and analytics, digital assurance, cloud and security, cx transformation and managed services across industries such as financial services, healthcare, communications, media, entertainment, travel, manufacturing, and technology.
About the Role

Intern-AI associate 

We are looking for talented graduates with a Master’s degree in Artificial Intelligence, Machine Learning, Data sceince or related fields. If you know recent graduates who are eager to learn, grow, and contribute, now is the great opportunity to refer them. Your referral could open the door to an incredible career opportunity, and help us strengthen our future workforce.

Educational Qualification:
Master’s Degree in AI/ML, Data Science, or Computer Science (specialization in AI/ML/Data Science is required).


Key responsibilities:
 

  • Ability to analyze natural language and quantitative problems to produce Machine Learning based models/solutions.
     
  • Optimization of existing machine learning models and solutions.
     
  • Comprehensive analysis and understanding of a business problem statement, passion and willingness to explore and learn domains including finance, insurance etc.
     
  • Research and implement solutions that will include Deep Learning, Generative AI, Agentic architecture based implementations, fine tuning of small language models.
     
  • Keeping abreast of AI and ML models and their applicability in real world context
     
  • Implement solutions with explainability and optimized performance
     
  • Programming skills in python.
Key Skills
Artificial IntelligenceMachine LearningData SciencePythonDeep LearningGenerative AIAgentic ArchitectureSmall Language ModelsModel OptimizationNatural Language ProcessingQuantitative AnalysisExplainabilityModel Fine-tuning
Categories
TechnologyData & AnalyticsSoftwareScience & Research