Required Skills

Machine Learning Engineer

Work Authorization

  • US Citizen

  • Green Card

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 11th Jan 2025

JOB DETAIL

• Camera and other sensors selection, installation and support
• Evaluating and selecting appropriate cameras and sensor hardware based on performance, cost and reliability
• In-club visit and testing
• Camera testing and Aruco testing
• System design and deployment
• Designing the layout and placement of cameras and sensors within the store to ensure optimal coverage and data capture
• Camera parameter testing
• Involves defining and testing the specifications for the camera such as resolution, frame rate, pixel depth, exposure time etc.
• Camera calibration and management pipeline
• Developing and implementing robust camera calibration procedures, including intrinsics and extrinsic calibration
• Maintaining calibration accuracy over time by implementing automated recalibration procedures or monitoring calibration drift
• Sensor fusion using multiple sensors (camera, lidar, weight scale, RFID)
• Data Annotation and Model Optimization
• Build annotated datasets from collected images/videos for model training and evaluation.
• Camera calibration model optimization
• Semi supervised annotations
• Camera monitoring
• Designing and implementing a monitoring system to track the health and performance of the camera and sensor network.
• Monitoring camera image quality, calibration parameters, sensor data streams and system latency
• Developing alerts and notifications for potential issues such as camera malfunctions, calibration drift or sensor failures
• Creating tools for visualizing sensor data and calibration parameters to aid in diagnostics and troubleshooting
• Privacy and Compliance
• Implement video anonymization techniques to protect customer privacy.
• Ensure that camera installations and data processing comply with relevant legal and regulatory requirements.
• Research and development of computer vision and machine learning algorithms for object detection, recognition, segmentation, and tracking
• Design, implement and deliver computer vision software systems to facilitate retail business
• Build scalable solutions to some of the challenging recognition problems in computer vision and continuously improve performance of existing algorithms
• Drive the design and development of computer vision algorithm and software applications implemented on cloud or edge infrastructures
• Maintain substantial knowledge of state-of-the-art principles and theories related to computer vision
 

Company Information