Trusting Social

Tóm tắt công việc

Responsibilities

We are looking for qualified MLops Engineer for the eKYC project, who will help us build up our digital identity verification products.

Your primary focus will be:

• Developing and managing the backend system which encapsulates and provides control flow of various ML models.
• Developing ML models and implementing novel solutions for various problems including fraud detection, face matching, OCR in computer vision.
• Act as interfaces between product team, engineering team and data science team to ensure smooth integration of ML solutions.
• Integrate ML models and ensure consistency in model interfaces and interaction as per product requirements.
• Monitor and optimize system performance and resource consumption.
• Manage development servers and environments.
• Communicate with the product team, infrastructure team, engineering team and data science team to ensure consistency in requirement, development, integration, and deployment.
• Optimize and deploy "tiny" ML solutions on limited computation power devices such as mobile devices and web platforms.
• Having an opportunity to learn from production across many nations.
• This position reports to the Lead data scientist.

(Optional) Have an opportunity to work under supervision of an experienced data scientist to:

• Build eKYC components (face recognition, ocr, object detection, fraud detection), using state-of-the-art methods
• Develop ML models and provide solutions for acquisition, verification, validation, and fraud detection of user data

What we offer

• 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.

Requirements

• BS or MS in Computer Science or related fields
• 2+ years of experience in data science and MLOps
• Must be proficient in software design and software development.
• Must be proficient in Python, scripting language. Experience with other programming languages (C++, Java, Javascript ...) is a plus
• Must be proficient in Linux system, version control system (Git), virtualization and SW packaging tool (docker)
• Great communication skills
• Desired Skills:
• Experience with ML framework: Tensorflow, Pytorch, Mxnet, ONNX.
• Experience with managing data science and computer vision toolkit, such as JupyterHub, OpenCV... is a plus
• Experience with working with databases and query language is a plus.
• Familiar with MLOPs concept and toolkit is a plus
• Basic understanding of machine learning techniques and algorithms
• BS/MS in Computer Science with focus on machine learning is a plus