Computer Vision Engineer

As a Team Lead - Computer Vision Engineer specializing in AI-powered surveillance audit solutions at mokSa.ai, you will play a crucial role in developing and deploying computer vision models to analyze retail surveillance footage for theft detection, employee efficiency monitoring, and store traffic analysis. Key Responsibilities: - Design and implement scalable, cloud-based microservices for real-time and post-event analytics in retail settings. - Develop computer vision models by building, training, and optimizing deep learning models for theft detection, employee productivity monitoring, and store traffic analysis. - Create data processing pipelines to efficiently extract, transform, and load video data streams for analysis. - Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems. - Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure. - Monitor model performance, identify issues, and implement improvements for accuracy and efficiency. - Ensure compliance with industry standards for security and data privacy in handling video footage. Qualifications: - 5+ years of experience in computer vision, with expertise in object detection, action recognition, and multi-object tracking. - Hands-on experience with microservices deployment on cloud platforms like AWS, GCP, or Azure using Docker or Kubernetes. - Proficiency in programming languages such as Python, C++, or Java. - Strong understanding of microservice architecture, REST APIs, and serverless computing. - Knowledge of database systems, message queues, and container orchestration. - Experience with deploying models to edge devices and understanding of retail operations. - Familiarity with data privacy regulations and strong analytical and problem-solving skills. - Ability to work independently and in cross-functional teams with excellent communication skills. At mokSa.ai, you can expect a collaborative and innovation-driven culture, competitive compensation, and growth opportunities. Join us in shaping the future of AI technology at our office located in the heart of Madhapur, Hyderabad. As a Team Lead - Computer Vision Engineer specializing in AI-powered surveillance audit solutions at mokSa.ai, you will play a crucial role in developing and deploying computer vision models to analyze retail surveillance footage for theft detection, employee efficiency monitoring, and store traffic analysis. Key Responsibilities: - Design and implement scalable, cloud-based microservices for real-time and post-event analytics in retail settings. - Develop computer vision models by building, training, and optimizing deep learning models for theft detection, employee productivity monitoring, and store traffic analysis. - Create data processing pipelines to efficiently extract, transform, and load video data streams for analysis. - Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems. - Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure. - Monitor model performance, identify issues, and implement improvements for accuracy and efficiency. - Ensure compliance with industry standards for security and data privacy in handling video footage. Qualifications: - 5+ years of experience in computer vision, with expertise in object detection, action recognition, and multi-object tracking. - Hands-on experience with microservices deployment on cloud platforms like AWS, GCP, or Azure using Docker or Kubernetes. - Proficiency in programming languages such as Python, C++, or Java. - Strong understanding of microservice architecture, REST APIs, and serverless computing. - Knowledge of database systems, message queues, and container orchestration. - Experience with deploying models to edge devices and understanding of retail operations. - Familiarity with data privacy regulations and strong analytical and problem-solving skills. - Ability to work independently and in cross-functional teams with excellent communication skills. At mokSa.ai, you can expect a collaborative and innovation-driven culture, competitive compensation, and growth opportunities. Join us in shaping the future of AI technology at our office located in the heart of Madhapur, Hyderabad.