Machine Learning Data Engineer

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. To succeed, you’ll bring an analytical, meticulous, and bias-aware mindset, communicate clearly with non-technical stakeholders, collaborate closely with product and engineering teams, and demonstrate adaptability, initiative, and strong time management in a distributed environment.