Machine Learning Engineer

What You'll Do
Contribute to the design, development, and maintenance of end‑to‑end ML pipelines.
Work with image data and computer vision models.
Build, curate, and maintain ground‑truth catalogs and labeling workflows, ensuring high‑quality datasets for training and evaluation.
Implement model monitoring, validation checks, and drift/anomaly detection to ensure reliability and consistency across environments.
Monitor ML systems and pipelines, triaging issues, and collaborating with senior engineers and data scientists to identify and resolve root causes.
Support performance optimization for both training and inference pipelines, including GPU utilization and batch/image processing workloads.
Participate in managing cloud‑based ML environments (Azure ML, Databricks, or similar platforms), ensuring reproducibility and scalability.
Use orchestration tools to schedule and maintain recurring ML workflows, such as model retraining, batch inference, or feature...