sona - Senior Machine Learning Engineer

• You'll need these skills/experience to be successful: • Production ML experience, with a track record of deploying ML systems that handle messy data, fail gracefully, and need monitoring • Strong ML fundamentals - you can reason about trade-offs in practice, explain why certain features matter more than model selection, and make good judgement calls when something unexpected happens • Client-facing deployment experience - you've personally owned an ML deployment end-to-end and are comfortable on calls with non-technical stakeholders • Strong programming skills in Python, including the ML/scientific Python stack (e.g. numpy, scikit-learn) • Daily use of AI development tools (Claude Code, Cursor, Copilot or equivalent) as your default working mode • It would be great if you have experience in some of these areas too: • Forecasting, time-series, or demand-planning - someone who understands lag features, calendar effects, and evaluation integrity intuitively will ramp significantly faster • Our stack: Python, scikit-learn, MLflow, Docker, GCP • A small team where ownership is wide and context-switching is normal