MLOps Engineer

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

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

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.