Research Engineer
Ho Chi Minh City, Vietnam
Location: Ho Chi Minh City, Vietnam,None,None
What you will do
We are looking for qualified Research Engineer for the eKYC project, who will help us build up our digital identity verification products.
Your primary focus will be:
- Build eKYC components (fraud detection, face recognition, OCR, object detection), using state-of-the-art methods in Computer Vision
- Develop ML models and provide solution for acquisition, verification, validation, and fraud detection of image and video data
- Integrate ML models and ensure consistency in model interfaces and interaction as per product requirement.
- Research, design and implement ML models and cutting edge algorithms to solve practical problems in terms of performance and speed.
- Work with high dimensional image and video data to build practical vision systems that have direct impact on revenue and bottom line
What you need to have
- BS or MS in Computer Science, Statistics, Mathematics, or related fields
- 4+ years of experience in advanced Machine Learning, Computer Vision, Image Processing
- Must be proficient in Python and experience with ML framework: Tensorflow, Pytorch, ONNX..
- Experience with managing data science and computer vision toolkit, such as JupyterHub, CVAT, OpenCV... is a plus
- Basic understanding of machine learning techniques and algorithms
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
- Great communication skills
What you will get
- Competitive compensation package, including 13th-month salary and performance bonuses
- Comprehensive health care coverage for you and your dependents
- Generous leave policies, including annual leave, sick leave, and flexible work hours
- Convenient central district 1 office location, next to a future metro station
- Onsite lunch with multiple options, including vegetarian
- Grab for work allowance and fully equipped workstations
- Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday
- Unlimited free coffee, tea, snacks, and fruit to keep you energized
- An opportunity to make a social impact by helping to democratize credit access in emerging markets.
About us
We are an AI Fintech company specialized in assessing credit profiles of consumers in emerging markets combining pioneering AI with large alternative data sources. In 2020 we reached our ambitious milestone of credit profiling 1 billion consumers spanning 4 countries - Vietnam, Indonesia, India & the Philippines - and building a platform for the wider industry and the financial services industry, in particular, to provide the "un & under" served access to credit. At the core of this initiative has been our strict and unwavering adherence to the norms of consumer data privacy and consumer data rights.
But we're not satisfied as we embark on the next leg of our journey to deliver 100 million credit lines to consumers in the markets where we operate. Although this goal is ambitious, we truly believe that by harnessing the power of AI & Big Data we can deliver financial access at an unprecedented scale.
As a firm, we're audacious problem-solvers motivated by our impact on society. We deeply espouse the values of ownership - of our actions and initiatives, integrity in all we do, and agility in execution.
We place great importance on doing what is right, what is best, and what is innovative. If you are smart, driven, and want to make a difference in the world with the most advanced and fascinating technology, come join our team. We can satisfy your desire to explore new territory and give you the runway to really make an impact.Β
This video shows our office and people:
https://www.youtube.com/watch?v=inAEDGvOcL8&t=29s
Apply to this job* Salary range is an estimate based on our AI, ML, Data Science Salary Index π°
Tags: Big Data Computer Science Computer Vision FinTech Machine Learning Mathematics ML models OCR ONNX OpenCV Privacy Python PyTorch Research Statistics TensorFlow
Perks/benefits: Competitive pay Flex hours Health care Snacks / Drinks Team events
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