Software Engineering Intern - AI/ML

Job Description: Software Engineering Intern AI/ML (Gurgaon | 6 Months | Full-Time Conversion Based on Performance)

About Wundrsight Health

Wundrsight Health is building the next generation of AI-powered digital health and rehabilitation technologies using computer vision, large language models, and XR-based therapeutics. Our solutions are used in hospitals, rehabilitation centers, and mental health institutions to deliver measurable, personalized care at scale. We are looking for a highly motivated AI/ML Software Engineering Intern who can help us build end-to-end AI systems, from research to production deployment. Know more about Neura AI here: https://getneura.ai

Key Responsibilities

• Build and optimize end-to-end AI pipelines involving LLMs, Computer Vision, and model deployment.
• Develop and integrate real-time CV models (YOLO, MediaPipe, OpenCV, etc.) into mobile and web applications.
• Implement AI-based movement assessment modules pose tracking, landmark extraction, gait analysis, ROM calculations.
• Work on LLM-based features such as classification, summarization, prompt engineering, and multimodal processing.
• Write efficient, clean, production-grade code in Python and C++.
• Build APIs, microservices, and backend systems to serve AI models at scale.
• Run experiments, evaluate model performance, and optimize inference for edge and cloud deployment.
• Collaborate with senior engineers, clinical experts, and product teams to ship high-impact features.

Required Skills & Experience

• Strong proficiency in Python and C++ (mandatory).
• Strong understanding of Data Structures & Algorithms (DSA).
• Hands-on experience with computer vision frameworks such as: YOLO (v5/v8/v9), MediaPipe, OpenCV
• Deep learning libraries (PyTorch / TensorFlow)
• Experience building apps with LLMs, transformers, embeddings, and multimodal AI models.
• Experience building end-to-end ML pipelines data preprocessing, training, validation, deployment.
• Understanding of real-time model optimization (ONNX, TensorRT, quantization) is a plus.
• Ability to quickly learn, experiment, and iterate on research ideas.

Preferred Qualifications (Bonus)

• Projects or research work in pose estimation, 3D reconstruction, gait analysis, object detection, or medical imaging.
• Experience deploying models to production (REST APIs, FastAPI, Docker, AWS).
• Exposure to Unity, GPU optimization, or XR is a plus.
• Previous internship or open-source contributions in AI/ML/CV.

What We Offer

• Opprotunity to work on SOTA AI products in healthcare for global clients
• Mentorship from senior engineers and clinical AI experts.
• Opportunity to work and co-author papers, patents in real-world healthcare AI used by hospitals and clinics.
• Work on cutting-edge multimodal AI, CV, and LLM systems.
• Fast learning environment with high ownership and rapid deployment cycles.
• Full-time conversion based on performance.

How to Apply

Apply here. For faster review, share your resume + GitHub/portfolio link at: careers@wundrsight.com with Subject: Application AI/ML Intern