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