Staff Machine Learning Engineer - Convey

Key Responsibilities

• Architect and implement end‑to‑end ML pipelines that ingest, clean, and model large volumes of logistics data.
• Collaborate with data scientists and product teams to translate business problems into scalable ML solutions.
• Deploy models to production on AWS, ensuring high availability, low latency, and robust monitoring.
• Optimize model performance through feature engineering, hyper‑parameter tuning, and continuous experimentation.
• Mentor junior engineers and champion best practices in code quality, testing, and documentation.

Requirements

• 5+ years of experience building production ML systems in a fast‑paced environment.
• Proficiency in Python, SQL, and deep learning frameworks (TensorFlow, PyTorch).
• Hands‑on experience with AWS services (SageMaker, Lambda, EC2, S3, Glue).
• Strong background in data engineering, ETL pipelines, and distributed computing.
• Excellent communication skills and a collaborative mindset.