AI / Computer Vision Intern

Arthrex India; Pune District; On-site; INR 223,000 - 446,000; Full time

Job summary

Arthrex India invites motivated interns to join its AI and Computer Vision team for a 6-month full-time internship in Pune. You will work on 2D/3D medical image analysis, deep learning, and AI-driven clinical workflows, collaborating with researchers and engineers to deliver real-world healthcare solutions.

The role emphasizes hands-on development in medical imaging, surgical navigation, and intelligent healthcare systems, with opportunities to contribute to cutting-edge projects and gain

Qualifications

• Pursuing technical degree in AI/CS/EE with strong ML fundamentals.
• Hands-on project experience in ML/CV is preferred.
• Interest in medical imaging and healthcare tech is desirable.

Responsibilities

• Develop and evaluate AI/ML models for medical image analysis.
• Work on CV algorithms for segmentation, detection, and 3D reconstruction.
• Process and analyze CT, MRI, X-Ray, Fluoroscopy, Ultrasound datasets.
• Explore architectures like CNNs and ViTs and build data pipelines.
• Collaborate with AI researchers, software engineers, and clinical experts.
• Document results and present findings to technical stakeholders.

Skills

ML concepts

DL concepts

Data Structures

Algorithms

Education

B.Tech / Dual Degree (3rd/4th year)

M.Tech / MS (Research)

Integrated Masters

Tools

Python

NumPy

OpenCV

Scikit-learn

PyTorch

Job description

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)
• Develop data pipelines for annotation, preprocessing, augmentation, and model validation.
• Build prototypes involving:
• Surgical navigation
• Digital twins
• 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

• Machine Learning and Deep Learning concepts
• Data Structures and Algorithms

Programming

• Python (mandatory)
• Experience with:
• NumPy
• OpenCV
• Scikit-learn
• PyTorch (preferred)

Computer Vision

Knowledge or project experience in one or more of:

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

Medical Imaging (Preferred)

Exposure or strong interest in:

• DICOM imaging formats
• Anatomical landmark detection
• Image-guided interventions
• Surgical navigation systems
• Radiology workflows

Generative AI (Bonus)

• Image synthesis
• 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
• COEP
• VJTI
• IISERs
• Other leading engineering and research institutions

Specializations preferred:

• Computer Science
• 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:

• 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:

• 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.