Design, build, and launch efficient ML models for business impact.
Train and validate multi-modal, multi-task deep learning and statistical models.
Develop end-to-end understanding of applications and model rationale.
Collaborate with data platform teams for robust batch and real-time pipelines.
Raise ML/engineering standards via code reviews, tests, and monitoring.

🎯 Requirements

Bachelor's, MS degree, or PhD in CS or related field
0-1 year ML engineering experience
Strong Python programming and data engineering skills
In-depth knowledge of ML algorithms
Ability to learn patterns for large-scale software architectures
Strong oral and written communication skills
Experience in NLP or Computer Vision is a plus

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