Senior Machine Learning Engineer
2 weeks ago
Position : ML Engineer
Industry : Fin Tech
Location : Work From Anywhere (Remote)
Experience : 8+ years
Here are some things you'll do :
- Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.
- Customer Service: Using machine learning and NLP, automate customer service interactions and provide context to our customer service team.
- Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.
- Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.
Qualifying Criteria :
- 8+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.
- Experience coordinating and collaborating with various business stakeholders and company leadership on critical functional decisions and technical roadmap.
- Excellent software engineering and programming skills, especially Python and SQL.
- A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.
- A deep understanding of using cloud computing infrastructure and data pipelines in production.
- Self-motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.
Note : Inviting applications who have Lending / Credit Risk domain experience as ML Engineer.
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