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- Working on large volumes of transactional and customer data and ensure they are collected, stored, and processed from a variety of sources through the design, construction, and management of data pipelines and infrastructure.
- Create, implement, and scale applications and models for machine learning in lower and production environments.
- Connect ML models to the SaaS platform, as well as to other tools and services including event streams, feature stores, model registries, and data lakes.
- Work closely with data scientists to create and evaluate machine learning models
- More than 10 years of experience in machine learning engineering.
- Bachelor's or Master's degree in Engineering, Mathematics, Computer science, or a similar discipline.
- Strong Java and Python programming skills
- Familiarity with data pipelines and data management
- Familiarity with data sources for financial services.
- Prior AWS, Snowflake, and Databricks experience
- Payments and Fintech experience is a plus
- An opportunity to work with stability provided by a large firm
- Competitive salary (Equity- (contingent)+ bonus)
- Company matched 401(k)
- Open collaborative team to work around
- Healthcare benefits
Machine Learning Engineer - Seattle, United States - Storm2
Description
Role: Machine Learning Data Engineer Specialist (Open to all levels)
Industry: FinTech (Payments/Embedded finance)
Location: Hybrid-Seattle/Bellevue, WA area
Salary: $150,000 - $220,000 base + bonus + RSUs (contingent)
A leading FinTech focusing on Embedded finance solutions is looking for a Machine Learning Specialist who can address issues like credit card fraud, money laundering, identity theft...
Having raised nearly $50M with backing from top investors (Goldman Sachs, Mastercard and B Capital Group), they recently got acquired by one of the biggest global payment companies. Following the acquisition, they are actively expanding on all fronts.
Responsibilities:
Qualifications:
Why apply: