Machine Learning Engineer

A US-based banking platform that enables businesses to provide financial services and solutions to customers, is looking for a Machine Learning Engineer. The engineer will be required to don multiple hats and contribute to cross-functional tasks like reviewing the existing architecture and proposing changes as necessary. The company's cutting-edge technology enables developers to build and launch market-ready credit, deposit, and crypto products in a matter of weeks. During their Series B round of funding, the company raised over $50 mn. This will be a long-term, full-time role requiring some overlap with the PST time zone.

Job Responsibilities:

• Build effective and scalable data pipeline
• Help build and maintain ML models
• Perform code reviews and architect new systems
• Mentor other team members and guide them on implementing industry best practices

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a machine learning engineer
• Prolific skills with Python, Pytorch, and Tensorflow 
• Extensive experience working with MongoDB, Redis, ElasticCache, and AWS
• Nice to have some experience with fintech, risk, credit, and crypto products
• Fluent in written and spoken English