Trusting Social is an AI Fintech pioneer that's revolutionizing credit access in emerging markets. Our mission is "Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy." We've assessed over 1 billion consumers across four countries, and we're on a mission to provide 100 million credit lines using the power of AI and Big Data.
Are you a highly qualified and curious Computer Vision Mlops Engineer ready to build cutting-edge digital identity verification products? Join our dynamic team, where you'll develop and deploy novel machine learning solutions that directly impact our eKYC (electronic Know Your Customer) projects. If you're passionate about leveraging computer vision to solve real-world problems and enhance digital security in a company with a strong social mission, this role is for you!
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:
- Apply MLOps techniques to optimize the AI model development process such as model serving, data/model versioning, autoML, and so on.
- Developing and managing the backend system which encapsulates and provides control flow of various ML models.
- Monitor and optimize system performance and resource consumption.
Integrate ML models and ensure consistency in model interfaces and interaction as per product requirements.
- Act as interfaces between product team, engineering team, data science and infrastructure teams to ensure smooth integration of ML solutions.
- Developing various ML models in the field of computer vision and implementing novel solutions for diverse ML problems (supervised, semi-supervised, unsupervised, one-class).
- Optimize and deploy "tiny" ML solutions on limited computation power devices such as mobile devices and web platforms.
- Experience with ML framework: Tensorflow, Pytorch, Mxnet, ONNX, Pandas, Numpy, kuberflow pipeline, airflow
- Experience with managing data science and computer vision toolkit, such as JupyterHub, OpenCV... is a plus
- Experience with Cloud Storage, CICD/Github workflows and Triton server are big pluses
- 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
Have an opportunity to:
- Understand the other related areas.
- Improve your social skills including communication, negotiation, cross-team collaboration, self-awareness and so on.
Join our vibrant team and enjoy:
At Trusting Social, we live by ownership, integrity, and agility in execution. We believe in doing what's right, what's best, and what's innovative. If you're smart, driven, and want to make a difference in the world with the most advanced and fascinating technology, come join our team. We offer the runway to truly make an impact.
For more information about us and a look at our office and people, please visit: