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Research Engineer
Thông tin cơ bản
Mức lương:
Thỏa thuận
Chức vụ:
Nhân viên
Ngày đăng tuyển:
26/08/2024
Hạn nộp hồ sơ:
25/09/2024
Hình thức:
FULL_TIME
Kinh nghiệm:
4 - 5 năm
Số lượng:
1
Giới tính:
Không yêu cầu
Nghề nghiệp
Ngành
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
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.
This Video Shows Our Office And People
https://www.youtube.com/watch?v=inAEDGvOcL8&t=29s
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
- 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
- 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.
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.
This Video Shows Our Office And People
https://www.youtube.com/watch?v=inAEDGvOcL8&t=29s
Khu vực
Trusting Social
Xem trang công ty
Quy mô:
100 - 200 nhân viên
Địa điểm:
Tầng 8 Tòa nhà Havana, 132 Hàm Nghi, Phường Bến Thành, Quận 1, Thành phố Hồ Chí Minh, Việt Nam
Trusting Social là một công ty fintech tiên phong trong lĩnh vực Alternative Credit Scoring – hệ thống chấm điểm tín dụng. Trusting Social được (TS) thành lập vào năm 2013 bởi nhà khoa học dữ liệu, tiến sĩ Nguyễn An Nguyên. Bằng công nghệ Big Data (dữ liệu lớn) và AI (trí tuệ nhân tạo), Trusting Social sẽ xây dựng nên một cơ sỡ dữ liệu điểm tín dụng (credit score) của mỗi cá nhân, từ đó giúp các tổ chức tài chính đưa ra quyết định cấp tín dụng cho khách hàng.
Review Trusting Social
4.1
97 review
05/02/2024
★
★
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Kỹ sư phần mềm
tại Hồ Chí Minh
Đồng nghiệp hợp tác và hỗ trợ, môi trường làm việc học hỏi được nhiều thứ (GL)
10/05/2024
★
★
★
★
★
Nhân viên IT
tại Hồ Chí Minh
Được cấp thiết bị, process giấy tờ internal cũng khá nhanh.(RV)
10/05/2024
★
★
★
★
★
Nhân viên IT
tại Hồ Chí Minh
Công ty ổn, chế độ phúc lợi grab, bảo hiểm bảo việt(RV)
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