Retail Surveillance Computer Vision Model Developer

7 days ago


Hyderabad, Telangana, India beBeeComputerVisionEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Key Responsibilities:

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  • Develop scalable cloud-based solutions to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis.
  • Implement computer vision models to track store busy hours, detect anomalies, and optimize operations.
  • Design and deploy microservice architecture that allows seamless integration of computer vision models into cloud or on-premise environments.
  • Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data.
  • Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling.
  • Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints.
  • Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency.
  • Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive information.
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Required Skills and Experience:

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  • 5+ years of experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications.
  • Hands-on experience with microservices deployment on cloud platforms using Docker, Kubernetes, or similar technologies.
  • Experience with real-time video analytics, including working with large-scale video data and camera systems.
  • Proficiency in programming languages like Python, C++, or Java.
  • Expertise in deep learning frameworks for developing computer vision models.
  • Strong understanding of microservice architecture, REST APIs, and serverless computing.
  • Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes).
  • Familiarity with edge computing and hardware acceleration for running inference on embedded devices.
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Desirable Qualifications:

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  • Experience with deploying models to edge devices.
  • Understanding of retail operations and common challenges in surveillance.
  • Knowledge of data privacy regulations.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and in cross-functional teams.
  • Excellent communication skills to convey technical concepts to non-technical stakeholders.
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