Software Engineering Intern

4 hours ago

Bengaluru, Karnataka, India Wundrsight Health Full time

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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