Data Scientist

Responsibilities:

• Design, build, train, and experiment with state-of-the-art computer vision models (e.g., object detection, image segmentation, classification, facial recognition) from ideation through prototyping, ensuring models are robust and high-performing.
• Train models from scratch on large datasets with considerable noisy annotations.
• Process and analyze large-scale image or video datasets to uncover trends, patterns, and actionable insights.
• Present results in a clear and commercially impactful manner.
• Utilize advanced mathematical methods to solve complex visual recognition problems.
• Perform preprocessing of structured and unstructured data, such as cleaning and annotating image/video datasets, and preparing data for use in computer vision models and experiments.
• Leverage foundation models for semi-automated annotation processes and hypothesis testing.
• Contribute to research and development activities focused on computer vision.Explore innovative algorithms, develop prototypes, and run proof-of-concept experiments to test new approaches.

Qualifications and Skills:

• Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field with a focus on computer vision and machine learning.
• 3+ years of hands-on experience in designing, developing, and deploying computer vision models, such as object detection, image segmentation, classification, and facial recognition.
• Proven track record of training models from scratch and solving novel, complex vision problems.
• Experience working with large-scale image and video datasets in real-world projects.
• Strong proficiency with Python, deep learning frameworks such as TensorFlow, PyTorch, and libraries such as OpenCV and Dlib for image processing and feature extraction.
• Strong understanding of mathematical foundations related to computer vision tasks, such as linear algebra, optimization, probability, and statistics.
• Experience in conducting research and developing prototypes to test innovative approaches, with a track record of exploring and experimenting with cutting-edge computer vision algorithms. Nice to have: academic publications in the field of computer vision in recognized journals and conferences.
• Ability to document research results and methodologies clearly for future reference and knowledge sharing.
• Experience working in multidisciplinary teams, collaborating with other data scientists, engineers, and researchers to develop and implement computer vision solutions.

Bonus Skills:

• Experience with the AWS cloud platform.
• Version control for machine learning models, like MLflow or DVC (Data VersionControl).

Job Type: Full-time

Pay: Up to RM20,000.00 per month

Benefits:

• Health insurance
• Maternity leave
• Opportunities for promotion
• Professional development

Schedule:

• Afternoon shift
• Monday to Friday

Experience:

• Machine Learning: 4 years (Required)