Machine Learning Engineer
Summary
Machine Learning Engineer at a Fintech company developing ML models for credit decisions, customer service automation, and fraud prevention using Python, SQL, and cloud infrastructure.
Our client, a leading Fintech, delivers world-class financial services to the mobile generation, and they are passionate about our customers, fearless in the face of barriers, and driven by data.
They are
looking for talented Machine Learning Engineers to join their team and be part of their journey. The successful candidate will
work closely with other Engineers, Product Managers, and Data Scientists to develop, improve,
and deploy machine learning models and to solve other optimization problems.
How will you make an impact
● Credit Decisions: Core to our client's 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 their customer service team.
● Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and
prevent these behaviors.
● Teamwork: Bring your experience to bear on the technical direction and abilities of the
team, and work cross-functionally with policy and product teams as they improve
processes and break new ground.
Requirements
● 4+ years of experience building software in a production environment. Startup or
early-stage team experience is preferred.
● 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.
● An understanding of cloud computing infrastructure and data pipelines.
● 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.
● Team motivation: You listen to others, speak your mind, and ask the right questions. You
are a great collaborator and teacher.
● The drive to make a positive impact on customers' lives.