We’re looking for a teammate with hands‑on experience building and shipping production ML systems, with deep proficiency in Python and the modern AWS ML stack.
Key Qualifications
Python Expertise: Python is your primary language. You write clean, well‑structured code and are comfortable owning end‑to‑end ML workflows — from data ingestion and EDA through model training, validation, and deployment.
AWS SageMaker: Practical, hands‑on experience with SageMaker as your primary ML platform — including SageMaker Studio, Training Jobs, Pipelines, Model Registry, and real‑time or batch inference endpoints.
Machine Learning Fundamentals: Strong grounding in supervised and unsupervised ML methods — gradient boosting, neural networks, dimensionality reduction, clustering, and survival/time‑to‑event models. Experience with scikit‑learn, XGBoost, LightGBM, and PyTorch or TensorFlow.