- Design, implement, and optimize state-of-the-art machine learning and computer vision models.
- Implement and benchmark algorithms on large-scale datasets, validating accuracy and throughput.
- Fine-tune models using techniques such as LoRA and QLoRA.
- Define, implement, and monitor evaluation metrics including precision, recall, and ROC-AUC.
- Support end-to-end ML workflows including training, CI/CD pipelines, and production monitoring.
- Mentor junior engineers across all phases of ML projects.
- Collaborate with engineering, product, and data stakeholders to deliver high-impact solutions.
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