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: 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: [HIDDEN TEXT] with Subject: Application — AI/ML Intern