MLOps Engineer Python, Linux

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