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Software Engineering Intern - AI/ML
Software Engineering Intern - AI/MLWundrsight Health • Bengaluru, India
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Software Engineering Intern - AI / ML

Software Engineering Intern - AI / ML

Wundrsight Health • Bengaluru, India
30+ days ago
Job description

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, 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

  • 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 + GitHub / portfolio link at : with Subject : Application — AI / ML Intern

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