This is a critical, hands-on role at the heart of product and client delivery, reporting directly to the Head of ML. You’ll work across three pillars: running ML Ops processes, refining LLM/ML models with human feedback and performance analysis, and transforming conversation data into repeatable, business-ready insights for clients and ongoing model innovation. As a Machine Learning Data Engineer, you’ll combine technical skills in Python, SQL, BI, and ML Ops with analytical storytelling that bridges data and decision-making.
Job listings
USD/year
In this role, you'll be responsible for Alt's core card pricing model, the critical engine that automates our cash advance decisions, powers our risk assessment framework and enables card valuations that collectors rely on for market research. You'll apply your expertise in both data science and ML operations to improve model accuracy and optimize our infrastructure for scalability and cost-effectiveness.