AI / Computer Vision Intern

About the Role

We are seeking highly motivated and technically strong interns to join our AI and Computer Vision team focused on next-generation medical imaging technologies, surgical navigation, computer-assisted interventions, and intelligent healthcare systems. This internship provides an opportunity to work on real-world problems involving 2D/3D medical image analysis, deep learning, anatomical modeling, image-guided surgery, simulation, visualization, and AI-driven clinical workflows. Interns will work alongside experienced AI architects, researchers, and engineers to develop cutting-edge solutions that can directly impact patient care and surgical outcomes. This role is ideal for students who are passionate about AI and computer vision and have a strong interest in applying technology to healthcare, orthopedics, radiology, surgical robotics, or medical imaging.

Key Responsibilities

• Develop and evaluate AI/ML models for medical image analysis.
• Work on computer vision algorithms for segmentation, detection, registration, tracking, and 3D reconstruction.
• Process and analyze CT, MRI, X-Ray, Fluoroscopy, Ultrasound, and related imaging datasets.
• Explore state-of-the-art deep learning architectures including:
• CNNs
• Vision Transformers (ViTs)
• Diffusion Models
• Foundation Models
• Multimodal Medical AI
• Develop data pipelines for annotation, preprocessing, augmentation, and model validation.
• Build prototypes involving:
• Surgical navigation
• Digital twins
• Statistical Shape Models (SSM)
• Synthetic image generation
• Surgical simulation
• Anatomical reconstruction
• Conduct literature reviews and benchmark against current state-of-the-art research.
• Collaborate with multidisciplinary teams including AI researchers, software engineers, product teams, and clinical experts.
• Document experimental results and present findings to technical stakeholders.

Requirements & Tech Stack

Strong Fundamentals

• Machine Learning and Deep Learning concepts
• Linear Algebra, Probability, Statistics
• Optimization techniques
• Data Structures and Algorithms

Programming

• Python (mandatory)
• Experience with:
• NumPy
• Pandas
• OpenCV
• Scikit-learn
• PyTorch (preferred)
• TensorFlow/Keras

Computer Vision Knowledge Or Project Experience In One Or More Of

• Image Classification
• Object Detection
• Semantic Segmentation
• Instance Segmentation
• Pose Estimation
• Feature Matching
• SLAM
• Optical Flow
• 3D Vision
• Multi-view Geometry
• Image Registration

Medical Imaging (Preferred Exposure or strong interest in)

• DICOM imaging formats
• CT, MRI, X-Ray, Ultrasound
• 3D volumetric image processing
• Medical image segmentation
• Anatomical landmark detection
• Image-guided interventions
• Surgical navigation systems
• Radiology workflows
• Computer-assisted surgery

Generative AI (Bonus)

• Diffusion models
• Image synthesis
• Synthetic data generation
• Vision-language models
• Medical foundation models

Qualifications

Preferred Academic Background

Students pursuing:

• B.Tech / Dual Degree (3rd or 4th Year)
• M.Tech
• MS (Research)
• Integrated Masters

From Premier Institutes Such As:

• IITs
• IISc Bangalore
• IIIT Hyderabad
• IIIT Bangalore
• BITS Pilani
• NITs (Top-tier)
• COEP
• VJTI
• IISERs
• Other leading engineering and research institutions

Preferred Specializations

• Computer Science
• Artificial Intelligence
• Machine Learning
• Data Science
• Electronics & Communication
• Biomedical Engineering
• Computational Imaging
• Robotics

Desired Experience

Candidates will stand out if they have:

• Publications, technical reports, or research projects in AI/CV.
• Kaggle, CVPR, MICCAI, ISBI, RSNA, MIDL, or related competition participation.
• Open-source contributions.
• Prior work involving medical imaging datasets.
• Experience with GPUs, model training, and experimentation pipelines.
• Personal/research projects involving 3D vision, computer graphics, or healthcare AI.

What You Will Learn

• End-to-end development of production-grade AI solutions.
• Medical imaging and healthcare AI workflows.
• State-of-the-art computer vision and deep learning techniques.
• Research methodologies and experimental design.
• Large-scale model training and evaluation.
• Software engineering practices used in industry R&D environments.

Required Qualities

We value candidates who are:

• Strong problem solvers
• Curious and research-oriented
• Self-driven and proactive
• Comfortable working in ambiguous problem spaces
• Eager to learn new technologies
• Effective communicators and team players

Nice-to-Have Project Examples

Projects in any of the following areas are highly valued:

• CT/MRI segmentation
• 3D reconstruction from medical scans
• Surgical navigation
• Digital twins
• Orthopedic planning
• Fluoroscopy/X-ray analysis
• AR/VR for healthcare
• Medical image registration
• Anatomical landmark detection
• Medical vision-language models
• Surgical video understanding
• Robotic perception systems

Selection Process

• Resume Screening
• Technical Assessment (AI/CV Coding & Problem Solving)
• Technical Interview (ML, CV, Deep Learning Fundamentals)
• Research/Project Discussion
• Final Team Interaction