AI Engineer – Intern (Part-Time)

Company: Spartis Tech Private Limited

Location: Hybrid – Pune

Department: Technology

Type: Part-Time Internship

About Us

Spartis Tech Private Limited is building AI-powered medical imaging solutions focused on 3D visualization, osteoporosis assessment, and orthopedic treatment planning. Our products are developed in close collaboration with leading orthopedic surgeons to improve diagnosis accuracy and patient outcomes.

Role Overview

We are looking for a passionate AI Engineer Intern to work on cutting-edge applications in medical imaging and healthcare AI. You will contribute to building intelligent systems that assist doctors in diagnosis and treatment planning.

Key Responsibilities

• Develop and implement AI/ML models for medical imaging applications
• Work on 3D image processing and visualization techniques
• Assist in building algorithms for bone health analysis and osteoporosis detection
• Collaborate with engineers and medical professionals to translate clinical needs into technical solutions
• Optimize models for performance, accuracy, and scalability
• Work with datasets, preprocessing, annotation, and validation

Required Skills

• Strong understanding of Machine Learning / Deep Learning concepts
• Experience with Python, and libraries like TensorFlow / PyTorch
• Basic knowledge of Computer Vision (OpenCV, image processing)
• Familiarity with data structures and algorithms
• Interest in healthtech / medical AI

Good to Have

• Experience with 3D imaging, DICOM, or medical datasets
• Knowledge of segmentation models (U-Net, etc.)
• Exposure to cloud platforms or deployment (AWS/GCP)

Who Should Apply

• Students or recent graduates in Computer Science, AI, Data Science, or related fields
• Individuals passionate about solving real-world healthcare problems using AI
• Self-driven learners who enjoy working in a fast-paced startup environment

What You’ll Gain

• Hands-on experience in AI for healthcare
• Opportunity to work closely with domain experts (orthopedic surgeons)
• Exposure to real-world product development
• Potential for full-time conversion based on performance