Job Description : Software Engineering Intern — AI / ML (Bangalore | 3–6 Months | Full-Time Conversion Possible)
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.
Role : Software Engineering Intern — AI / ML
Location : Bangalore (On-site preferred)
Duration : 3–6 months
Conversion : High-performing intern will be offered full-time roles
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, Media Pipe, Open CV, 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), Media Pipe, Open CVDeep learning libraries (Py Torch / Tensor Flow)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, Tensor RT, quantization) is a plus.Ability to quickly learn, experiment, and iterate on research ideas.Preferred Qualifications (Bonus)
Projects or research work in pose estimation, 3 D reconstruction, gait analysis, object detection, or medical imaging.Experience deploying models to production (REST APIs, Fast API, 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
Opportunity to work and co-author papers, patents in real-world healthcare AI used by hospitals and clinics.Mentorship from senior engineers and clinical AI experts.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 + Git Hub / portfolio link at : with Subject : Application — AI / ML Intern