Experienced Machine Learning Engineer - Credit
Plaid
This job is no longer accepting applications
See open jobs at Plaid.See open jobs similar to "Experienced Machine Learning Engineer - Credit" Homebrew.Responsibilities
- Hands-on develop, productionize, and operate Machine Learning models and pipelines to improve a diverse range of Plaid products.
- Continuously proposing and developing new features to improve the AI/ML model performance.
- Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle.
- Debugging ML production issues and ensuring stable model serving.
- Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.
Qualifications
- Proficiency in machine learning algorithms and solid understanding of mathematics and statistics.
- Experience in developing end to end data systems/products and productionizing AI/ML models.
- Experience in well-known big data processing infrastructures, like Spark, Airflow, DBT, Hive, Presto, and etc.
- Ability to architect software and ML systems at scale.
- Solid software engineer skill in complex and multi-language systems. Code fluency in Python.
- Experience in working with product, design, and backend engineering.
This job is no longer accepting applications
See open jobs at Plaid.See open jobs similar to "Experienced Machine Learning Engineer - Credit" Homebrew.