10+ years of experience designing and building production-grade ML pipelines and systems (6+ years considered if strong candidate). Strong background in deep learning, computer vision, or remote sensing. Skilled in designing end-to-end ML systems. Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM. Experience with data tools like Dask, Spark, or GeoPandas. Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms. Strong communication skills and ability to collaborate across technical and scientific domains. Comfortable leading architectural discussions and mentoring other engineers.