Location:
Pune / Hybrid Duration: 6 Months (extendable based on performance) Type: Full time Internship Domain: Artificial Intelligence, Computer Vision, Medical Imaging, Healthcare Technology

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. Desired Technical Skills 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 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 Specializations Preferred
•
• 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 Ideal Candidate A highly competent AI/Computer Vision student from a premier engineering institute who possesses strong machine learning fundamentals, hands-on deep learning experience, and a genuine interest in applying AI to medical imaging, surgical technologies, and healthcare innovation. The candidate should be excited about solving challenging real-world problems at the intersection of AI, computer vision, and medicine.

📌 AI / Computer Vision Intern (Pune)
🏢 Arthrex India
📍 Pune