ML Fullstack Engineer(Computer Vision)

0 years

0 Lacs

Posted:2 months ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

ML Full-Stack Engineer (Computer Vision)

research and exploration mindset

Responsibilities

  • Design CV/ML pipelines

    to analyse learner–patient interactions in simulation labs, using YOLO, ViT, TimeSformer, Mediapipe, and Hugging Face vision models.
  • Develop multimodal analytics

    by integrating video, audio, and transcripts to assess empathy, communication, and ethical decision-making.
  • Ingest and process video data

    at scale using Azure Video Indexer and GPU-based compute environments.
  • Build full-stack applications

    — backend APIs (FastAPI/Node.js) and front-end dashboards (React/Next.js) for educators.
  • Ensure compliance and privacy

    , implementing features such as face blurring, de-identification, and data residency.
  • Operationalize ML models

    with Azure ML pipelines, model registry, and CI/CD workflows.
  • Collaborate with medical educators

    to align AI outputs with AETCOM rubrics and training objectives.
  • Optimize compute resources

    and GPU usage through FinOps best practices.

Nice to Have

WebRTC/live video streaming

·       Background in medical education or CBME-based assessments.

healthcare training, simulation-based education, or behavioural assessment

multimodal learning

FinOps for GPU cost optimization

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