AI Researcher – Computer Vision

24 hours ago

Chandigarh, Chandigarh, India PaladinAi Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Location:
 Chandigarh

Experience:
 3–7 years

Department:
 AI Research & Innovation

Employment Type:
 Full-time

About the Role

We are looking for a passionate 
AI Research Scientist
 with expertise in 
Computer Vision and Video Understanding
 to join our AI Research Team. You will work on developing deep learning–based solutions that help machines interpret, analyze, and understand complex video content.

The role focuses on applied research, model development, and prototyping of scalable AI solutions that can be deployed across enterprise use cases.

Key Responsibilities

  • Research and prototype deep learning models for 
    video understanding
    , including:
  • Action and gesture recognition
  • Object tracking and temporal event detection
  • Video summarization and scene understanding
  • Deepfake and manipulated content detection
  • Implement and optimize architectures such as 
    3D CNNs
    , 
    Vision Transformers
    , and 
    Temporal Models
    .
  • Contribute to dataset design, annotation, and preprocessing pipelines for video-based training.
  • Conduct experiments to benchmark and improve model accuracy, robustness, and inference performance.
  • Collaborate with senior researchers and engineering teams to integrate research outputs into production systems.
  • Stay updated on the latest research in 
    video AI
    , 
    multimodal learning
    , and 
    transformer architectures
    , and evaluate their practical applications.
  • Document methodologies, publish internal reports, and contribute to patents or external publications where applicable.

Required Qualifications

  • Master's degree or higher in 
    Computer Science, Electrical Engineering, or related field
    .
  • 3–7 years of experience in 
    computer vision or deep learning research
    , with a focus on video data.
  • Strong programming skills in 
    Python
     and experience with 
    PyTorch
     or 
    TensorFlow
    .
  • Hands-on experience with 
    spatio-temporal models
     such as I3D, SlowFast, or TimeSformer.
  • Solid understanding of 
    feature extraction
    , 
    self-supervised learning
    , and 
    transformer-based architectures
    .
  • Experience working with video datasets like 
    Kinetics
    , 
    Something-Something
    , or 
    DFDC
    .
  • Proven ability to run experiments end-to-end — from data preparation to evaluation and reporting.
  • Strong analytical thinking and communication skills.
  • Should have published papers or patents or invented new architectures for model enhancements.

Preferred Qualifications

  • Experience in 
    multimodal AI
     (vision + audio + text) or 
    generative video modeling
    .
  • Exposure to 
    video forensics
     or 
    media authenticity detection
    .
  • Experience with 
    distributed training
    , 
    GPU optimization
    , or 
    MLOps pipelines
    .
  • Familiarity with open-source frameworks such as 
    Hugging Face
    , 
    OpenMMLab
    , or 
    PyTorch Lightning
    .

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