Job description
The role is responsible to assist the clients and the product team to uncover hidden value and streamline operation process from data by building an AI enabled solution. The candidate will play key role along the solution development lifecycle from product invention, model development, model training to testing in different industry.
Requirement
- Exposure to a big data technologies (e.g. Hadoop, Spark, TensorFlow), database technologies (e.g. SQL, NoSQL, Graph databases), programming frameworks (e.g. Python, R, Scala, Java), and data visualization tools (e.g. Tableau, QlikSense)
- Solid experience in model training, big data strategy and data management (e.g. GPU cluster management, secure and privacy-protecting data sharing techniques)
- With some hands on experience in deep learning using python library including keras, panda, numpy, tensorflow, autoencoder, other statistics library and hyper-parameters tuning would add advantage
- With experience in Large language model, machine learning use cases including image classification, NLP translation, semantic search, NLP sentiment analysis, object detection and recognition, anomaly detection, feature extraction, data correlation, etc would add advantage
Job Types: Full-time, Permanent, Internship
Benefits:
- Flexible schedule
- Opportunities for promotion
- Professional development
- Work from home
Schedule:
- Monday to Friday
Supplemental pay types:
- Performance bonus