Posted 5 months ago

Responsibilities:

  • Collaborate closely with the AI  team to research, develop, evaluate, and optimize computer vision and deep learning models.
  • Assist in analyzing unstructured data such as images through image processing techniques using OpenCV.
  • Contribute to driving computer vision solutions to meet customer requirements.
  • Support in deploying computer vision models into production and participate in optimization efforts.
  • Expand knowledge in deep learning algorithms and model families.
  • Contribute to building production-ready deep learning models.

Skills:

  • Proficiency in Python and related packages like numpy, scikit-image, PIL, OpenCV, matplotlib, seaborn, etc for image processing and data processing.
  • Familiarity with machine/deep learning frameworks like TensorFlow, Keras, or PyTorch.
  • Ability to read and implement related academic papers in computer vision and deep learning.
  • Experience in training models through GPU computing using NVIDIA CUDA or on the cloud and on premises servers.
  • Must have good Object-Oriented Programming & logical analysis skills in Python.
  • Should have worked on atleast 2 technologies like Object Detection, Image Classification, Object Tracking, Face detection recognition, OCR.

Preferred Skill:

  • Experience with model inference libraries like Onnx, Onnxruntime.
  • Exposure to cloud computing environments like AWS or Azure.
  • Experience with model serving using Flask/Flask API, torchserver.

Qualification:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related fields.
  • 2 years of experience in computer vision and/or deep learning.

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