Job Description
- Contribute to thedesign, development, and maintenance of end‑to‑end ML pipelines.
- Work withimage data and computer vision models.
- Build, curate, andmaintainground‑truth catalogs andlabelingworkflows, ensuring high‑quality datasets for training and evaluation.
- Implementmodel monitoring, validation checks, and drift/anomaly detectionto ensure reliability and consistency across environments.
- Monitor ML systems and pipelines,triagingissues,and collaborating with senior engineers and data scientists toidentifyand resolve root causes.
- Supportperformance optimizationfor both training and inference pipelines, including GPUutilizationand batch/image processing workloads.
- Participate in managingcloud‑based ML environments(Azure ML, Databricks, or similar platforms), ensuring reproducibility and scalability.
- Use orchestration tools toschedule andmaintainrecurring ML workflows, such as model retraining, batch inference, or f...
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