AI Developer

• Research, design, and implement ML/DL models for video analysis (object detection, classification, tracking, action recognition).
  
• Work with large-scale video datasets: preprocessing, annotation, and model training.
  
• Optimize deep learning models for accuracy, performance, and scalability in production environments.
  
• Collaborate with engineering teams to deploy models into real-time and batch video processing pipelines.
  
• Stay updated with the latest advancements in computer vision and ML to integrate into product development.
  

Requirements

• Bachelor's/Master's in Computer Science, AI/ML, Data Science, or related field.
  
• 2–5 years of experience in AI/ML with focus on computer vision or video analytics.
  
• Strong hands-on experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras).
  
• Experience with video analysis techniques: CNNs, RNNs, 3D-CNNs, Transformers for vision, etc.
  
• Solid programming skills in Python and familiarity with ML libraries (scikit-learn, OpenCV, NumPy, Pandas).
  
• Experience in model deployment, optimization, and inference (TensorRT, ONNX, TorchScript, etc.).
  
• Strong problem-solving skills and ability to work in a fast-paced startup-like environment.
  

• Knowledge of video streaming technologies (FFmpeg, GStreamer).
  
• Experience with distributed training, GPU acceleration, or cloud-based ML platforms (AWS, GCP, Azure).
  
• Familiarity with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).
  
• Publications, Kaggle participation, or open-source contributions in computer vision/ML