| Machine Learning Engineer (with CV experience) || Hybrid in Dallas-Fort Worth area (LOCAL ONLY) at Dallas, Texas, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2072740&uid= From: Deepali Jha, SibiTalent [email protected] Reply to: [email protected] Hello, Hope you are doing well!! My name is Deepali Jha and I am a Staffing Specialist at Sibitalent. I am reaching out to you on an exciting job opportunity with one of our clients. Job Title:- Machine Learning Engineer (with CV experience) Location :: Hybrid in Dallas/Fort Worth area (LOCAL ONLY) Duration :: 6+ month Experience :: 8+ years Note:- Need Local and strong candidate Need 4-5 pages resume only Description:- We also need multiple Camera Team Computer Vision Machine Learning Engineer: Summary We're looking for an incredible Senior Computer Vision Machine Learning Engineer (specifically work on camera-related tasks) to create computer vision models that will power our computer vision systems. Our autonomous robots take millions of pictures every day and the computer vision solutions will help identify when products are out of stock, where items are located, if prices are correct, and so much more. Our computer vision systems also detect items in shopping carts and improve member exit experiences in Sam's Club. Check out these press releases, (Auto Inventory, Exit Tech) to get a better idea about the technology you will be working on. Qualifications Proficiency in coding (Python) 5 years' experience in building Computer vision/Machine Learning based models in a professional environment Master degree with 3-year industrial experience or PhD degree with 1-year industrial experience Live in or be willing to relocate to Dallas-Forth Worth (DFW) area required Overtime work acceptance (work shift on the next day) Electrical Engineering, Mechanical Engineering, Optics fields/major Meiy hands-on experience with camera and Lidar is preferred Proficiency in computer vision and deep learning algorithms such as object detection, image classification, image segmentation, and video analysis Strong understanding of probability and statistical models (generative and descriptive models) Ability to run experiments scientifically and analyze results Ability to effectively communicate technical concepts and results to business audiences in a comprehensive manner Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations What You'll Do 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 Thanks & Regards Deepali Jha Sr. Technical Recruiter E-Mail:[email protected] Website: www.sibitalent.com Keywords: access management Machine Learning Engineer (with CV experience) || Hybrid in Dallas-Fort Worth area (LOCAL ONLY) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2072740&uid= |
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| 01:55 AM 11-Jan-25 |