Machine Learning Engineer
Job Description
Our client, a leading technology firm specializing in cutting-edge AI and video intelligence solutions for practical applications, is seeking a Junior Machine Learning Engineer to become part of their Model Engineering team in Singapore.
This role presents a hands-on opportunity for individuals eager to engage deeply with machine learning models, rather than just utilizing pre-existing ones. You will play a key role in the development and enhancement of computer vision models in various domains, including:
- Training, fine-tuning, and assessing computer vision models
- Handling tasks such as image classification, object detection, segmentation, pose estimation, and action recognition
- Experimenting with diverse model architectures and training methodologies
- Benchmarking innovative approaches and evaluating model performance
- Exploring model limitations while enhancing accuracy, robustness, and efficiency
- Collaborating with engineering teams to ensure dataset quality and optimize model performance
- Considering essential factors like latency, throughput, and computational efficiency
- This position offers insights into the complete lifecycle of computer vision model development, from experimentation and training to performance optimization.
Ideal Candidate:
- Open to recent graduates or candidates with up to 2 years of relevant experience, based on hands-on project involvement
- Practical experience in training, fine-tuning, and evaluating computer vision models
- Familiarity with at least one of the following areas: classification, object detection, segmentation, pose estimation, or action recognition
- Proficient in using PyTorch and/or TensorFlow
- A strong passion for Computer Vision / Deep Learning and model development
- A Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline
- Python proficiency is preferred
Dear Applicant,
If you or someone you know is interested in this opportunity, please send your CV directly to [HIDDEN TEXT] (this method is preferred, as I may overlook some applications due to high volume).
Kindly note that visa sponsorship is not available at this time.
