About the Role
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 a...
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