Foundational AI Research Intern – Healthcare

Remote / Hybrid Full-Time Internship

Explicity – Healthcare AI Innovation Lab

At Explicity, we are on a mission to build the future of intelligent healthcare systems powered by cutting-edge artificial intelligence. We are seeking a highly motivated and research-driven AI Research Intern to join our core team in developing next-generation Healthcare AI models from the ground up.

This is a high-impact, hands-on role designed for individuals who want to work beyond theory and actively contribute to building real-world AI systems. You will collaborate closely with our research and engineering team to design, develop, train, and optimize machine learning and deep learning models using real-world healthcare datasets.

You will be directly involved in foundational model architecture design, experimentation, evaluation, and performance optimization, helping shape the technical backbone of our Healthcare AI products.

Key Responsibilities

Design and implement machine learning and deep learning models from scratch
Work with structured and unstructured healthcare datasets
Perform data preprocessing, feature engineering, and pipeline development
Train models in GPU environments and optimize for performance
Conduct research experiments and analyze results
Improve model accuracy, robustness, and efficiency
Document research methodologies and technical decisions
Collaborate with teams to translate research into deployable systems

Technical Skills (Must Have)

Strong Python programming skills
Hands-on experience with PyTorch or TensorFlow
Solid understanding of Machine Learning fundamentals
Experience building and training Deep Learning models
Experience working with real-world datasets
Familiarity with GPU-based training environments

Ideal Candidate

  • • Strong foundation in Machine Learning and Deep Learning
  • • Experience training and fine-tuning models in GPU environments
  • • Understanding of neural networks and optimization techniques
  • • Research-oriented mindset with strong problem-solving skills
  • • Passion for building impactful AI solutions in healthcare

Educational Background

Any one of the following:

  • B.Tech / B.E. in Computer Science (AI/ML specialization preferred)
  • M.Tech / M.S. in AI / ML / Data Science
  • PhD in AI / ML / Computer Science or related field
  • Candidates with exceptional practical experience and certifications may also apply.

Accepted Certifications

DeepLearning.AIGoogle ML EngineerAWS ML SpecialtyAzure AI Engineer

Why Join Explicity?

  • • Build foundational systems from scratch
  • • Innovation-driven startup environment
  • • Direct exposure to advanced AI research
  • • Mission-driven team transforming patient care

What We Value

  • • Strong analytical and research mindset
  • • Ability to work independently
  • • Curiosity and experimentation
  • • High ownership and accountability

Ready to shape the future of Healthcare AI?

Join our core team and build models that make a difference.