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Job Description
Structured overview of role & requirementsAbout This Role
Implement and extend state-of-the-art deep learning techniques for computer vision problems, focusing on real-time retail supply-chain applications.
Develop, train, test, and deploy machine/deep learning models at scale using frameworks like PyTorch and TensorFlow.
Read and apply current research papers to rapidly prototype and improve visual AI systems involving object detection, tracking, OCR, and video analysis.
Minimum Requirements
Minimum 2 years of industry experience in deep/machine learning for computer vision with hands-on expertise in OpenCV, PyTorch, and TensorFlow.
Minimum 2 years of in-depth Python programming and system building experience.
Work Experience Required: At least 2 years in engineering and deep learning roles.
Not explicitly mentioned in the JD: mandatory degree, notice period, or strict location/onsite requirements.
Ideal Candidate Profile
Experience working on scalable AI systems targeting real-time image and video processing, preferably in retail or related domains.
Ability to apply research-level knowledge quickly to practical problems and customize existing codebases for new use cases.
Comfortable working in an early-stage startup environment with collaborative development and rapid experimentation demands.