
Data Engineering Lead
1 week ago
You will work collaboratively with the engineering and product teams to drive data-driven solutions.
Think through complex issues & technologies, communicating effectively with stakeholders at different levels.
Develop and implement machine learning models from inception to deployment.
Stay abreast of research trends in Deep Learning/vision/NLP.
Key Qualifications & Competencies:A Bachelor's or above degree in Data Science, Mathematics, Statistics, Econometrics, Computer Science, or a related field is essential.
3-5 years of experience in building complete ML products is necessary. This includes problem analysis, data selection, production deployment, and monitoring for enhancements.
Theoretical knowledge and hands-on experience in deep learning/computer vision/NLP are required.
Rapidly prototype and evaluate algorithms, utilizing Keras, PyTorch, and TensorFlow.
Good programming skills, especially those relevant to building robust ML models, are crucial.
Experience working with text-only and multimodal SLMS is beneficial.
Publishing in top-tier conferences and journals is considered a plus.
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