Computer Vision Engineer

0 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

Company Description

WittingAI


Role Description

Computer Vision Engineer


Responsibilities

  • Train and fine-tune

    YOLO

    and other CV models for detection and classification.
  • Build solutions for

    OCR, document parsing, and face recognition/detection

    tasks.
  • Develop scalable

    GPU-accelerated inference pipelines

    in production.
  • Deploy models on

    AWS

    (SageMaker, ECS, EC2, or EKS) with high-throughput reliability.
  • Automate data preparation, training, and monitoring workflows.
  • Collaborate closely with founders and AI engineers to deliver impactful solutions.


Qualifications

  • Experience in Computer Vision or applied ML
  • Strong expertise with

    YOLO

    , plus OCR and face detection frameworks (Tesseract, EasyOCR, Dlib, Mediapipe, or similar).
  • Proficiency in

    PyTorch/TensorFlow, OpenCV, and Python

    .
  • Hands-on with

    GPU acceleration (CUDA, Nvidia)

    and

    Linux environments

    .
  • Experience deploying on

    AWS

    and scaling inference pipelines.
  • Bonus: Familiarity with

    MLOps, Docker/Kubernetes, Git

    .


What we Offer

  • Work on

    cutting-edge AI projects

    at an early-stage startup.
  • Direct collaboration

    with founders & AI experts.
  • Remote flexibility

    in a fast-paced, growth-oriented environment.
  • Opportunity for full-time conversion based on performance.


How to Apply

hr@witting.ai

Computer Vision Engineer | [Your Name]

Please include links to relevant GitHub/portfolio projects (if available).


AI-driven computer vision solutions

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