senior machine learning engineer.

• Lead and collaborate with local research institutes to drive and derive computer vision solutions to improve overall system performance
• Work with raw image data, research, develop, evaluate, and optimize various computer vision and deep learning models for various automation applications
• Define and supervise the data acquisition process to build up a training database
• Explore and visualize data acquired to identify features, and differences in data distribution that could improve performance when deploying the model in the real world
• Analyze the errors of the model and designing strategies to overcome them
• Deploy machine vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future
• Defining validation strategies and deploy models to production
• Work and collaborate with industry experts and scientists to realize and implement end-to-end solutions.

skills and experience required

• Master’s degree in Computer Science, Machine Learning, or in related fields preferred
• At least 2 years of experience in computer vision and/or deep learning for object detection and tracking along with semantic or instance segmentation either in the academic or industrial domain
• Mandatory experience in OpenCV and Machine Learning Frameworks such as Tensorflow, Keras and Pytorch
• Must have experience and strong foundation in data structures and algorithms in Python or C++
• In-depth understanding and breadth of computer vision and deep learning algorithm
• Ability to select hardware to run an ML model with the required latency including exposure to IoT technology like edge computing principles and architecture preferably for Raspberry Pi
• Experience in different model optimization techniques apart from hyperparameter tuning to reduce memory usage without hindering the performance of deploying on-edge devices
• Must be able to produce solutions independently in an organized manner and be able to work in a team
• Excellent written and verbal communication skills for effectively communicating with the team and ability to present information to a varied technical and non-technical audience
• Willing to learn and positive, can-do attitude

To apply online please use the 'apply' function, alternatively you may contact Kaixinn.
(EA: 94C3609/ R2196712 )

Applicants must be fully vaccinated or have a valid exemption in accordance with MOM’s regulations to allow them to enter the workplace. Applicants may be required to share verifiable COVID-19 vaccination documents or proof of a valid exemption at the point of offer. Randstad Pte. Limited and/or the Client reserves the right to withdraw an offer if the applicant fails to provide verifiable COVID-19 vaccination and/or proof of exemption documents.