Our client is on a rewarding mission to revolutionise the financial world with the power of AI and Machine Learning. They are seeking a Machine Learning Engineer who will play a pivotal role in this journey. The successful candidate will be part of an international team of experts, applying their skills to create innovative AI solutions that simplify complex financial processes.
What you'll do:
As a Machine Learning Engineer, you will be at the forefront of cutting-edge technology. You will survey the latest research in various fields such as natural language processing and large language models, computer vision, deep learning, and general machine learning. Your role will involve executing across the entire machine learning lifecycle from data collection to service deployment. You will also engage in strategic discussions, helping to build tactical roadmaps for the AI research team. Your ability to run ad-hoc data science studies will be crucial in exploring new ideas. Working closely with different functions within the organisation, you will promote new ML solutions to production while iterating on existing ones.
Survey the latest research in areas such as natural language processing, computer vision, deep learning, and general machine learning
Execute across the end-to-end machine learning lifecycle including 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 solutions to production and iterate on existing ones
Write clean, concise, and well-tested code to support automated machine learning processes
What you bring:
The ideal candidate for this Machine Learning Engineer position brings a wealth of experience and knowledge. With a degree in Computer Science, Machine Learning or Data Science, you have spent at least 2 years working full-time on ML technologies and methodologies. Your experience with deep learning frameworks such as PyTorch or Tensorflow in Python and/or C++ is essential. You are known for your ability to work collaboratively and independently, always demonstrating strategic thinking and sound judgement. A solid understanding of computer architecture for performance profiling and optimisation is a must, along with excellent verbal and written communication skills.
Degree in Computer Science, Machine Learning, Data Science or equivalent practical experience
2+ years of full-time work experience working on ML technologies/methodologies (including infrastructure work)
Experience with developing with deep learning framework such as PyTorch or Tensorflow in Python and / or C++
Proven track record of being able to work collaboratively, independently, strategically and with sound judgment
Solid understanding of computer architecture for performance profiling and optimization
Excellent verbal and written communication skills
What sets this company apart:
Our client is a trailblazer in the financial world, using AI and Machine Learning to revolutionise the industry. They value trust, teamwork, and adaptability, creating an environment where every team member can thrive. Their international team of experts brings together diverse perspectives and experiences, fostering innovation and growth. This is an opportunity to be part of a mission that has the potential to impact people's financial lives positively.
Do note that we will only be in touch if your application is shortlisted.
Robert Walters (Singapore) Pte Ltd
ROC No.: 199706961E | EA Licence No.: 03C5451
EA Registration No.: R1439850 Sachet Sethi