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Senior ML Engineer
Posted 7 days agoViewed
Requirements:
- Expertise in Computer Vision: experience delivering end-to-end CV projects (e.g., detection, segmentation, analysis, OCR, classification, video processing).
- Foundational ML Skills: familiarity with classical ML techniques (e.g., clustering, boosting).
- ML Lifecycle Knowledge: deep understanding of a machine learning project lifecycle.
- Python Engineering: experience developing and maintaining Python microservices and libraries.
Responsibilities:
- Coordinate data labeling efforts and curate high-quality datasets.
- Design, develop, and optimize ML training pipelines.
- Prepare models for production and contribute to deployment processes.
- Oversee production models, ensuring proper performance through monitoring, fine-tuning, and troubleshooting.
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