Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field.
3+ years of hands-on experience in computer vision and image processing.
Proficiency in Kotlin, with experience building Android or cross-platform applications.
Strong understanding of deep learning frameworks (e.g., TensorFlow, PyTorch, OpenCV).
Experience with model deployment on edge devices (e.g., Jetson Nano, Raspberry Pi, Android).
Familiarity with retail use cases such as shelf monitoring, customer behavior analysis, or automated checkout. Must have
Excellent problem-solving and communication skills.
Key Responsibilities :
Design and implement computer vision algorithms for object detection, tracking, and recognition in retail environments.
Develop and maintain Kotlin-based applications integrating vision models with mobile or edge devices.
Collaborate with cross-functional teams including product managers, data scientists, and backend engineers.
Optimize models for real-time performance on mobile and embedded platforms.
Analyze large-scale video / image datasets from retail stores to extract actionable insights.
Contribute to the full software development lifecycle : design, development, testing, deployment, and maintenance.
(ref : hirist.tech)
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Computer Vision Engineer • Bangalore
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