about company
I am currently working with a growing Series A fintech startup with more than 150 employees globally (mainly in US and Singapore). Hybrid working arrangement. Office location at CBD. 3-4 rounds of interview to offer stage.
about job
● Survey the latest research in areas such as natural language processing and large language models, computer vision, deep learning, and general machine learning to help build innovative AI solutions that drive our product
● Execute across the end-to-end machine learning lifecycle in areas such as data collection and sanitization, data pipeline, model training and evaluation, production releases, and service deployment..
● Engage in strategic discussions and help build tactical road-maps & timelines for the AI research team
● Run ad-hoc data science studies to explore new ideas and present to the broader team
● Work closely with different functions to promote new ML
skills and requirements
● Degree in Computer Science, Machine Learning, Data Science, or equivalent practical experience
● Min 2 years of working on ML technologies/methodologies. LLM experience preferred. (including infrastructure work).
● Experience with developing with deep learning framework such as PyTorch or Tensorflow in Python and / or C++ and with distributed computing systems
● Proven track record of being able to work collaboratively, independently, strategically and with sound judgment
● Solid understanding of computer architecture for performance profiling
To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)
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