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The Role:
Design and implement scalable algorithms and architectures to process and analyze large-scale structured datasets efficiently.
Conduct experiments and perform rigorous evaluations to measure the performance and effectiveness of the developed models.
Optimize and fine-tune models to improve accuracy, scalability, and interpretability.
Stay up to date with the latest advancements in the field of Deep Learning, Foundational Models, and Generative AI.
What you bring:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines. PhD is a plus.
Solid understanding of Machine Learning algorithms and techniques, particularly in the context of structured data.
Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar.
Ideally, professional experience with Machine Learning on structured data such as in the ERP or CRM domain.
We win with inclusion
San Jose
Palo AltoJob Segment:ERP, Cloud, Computer Science, CRM, Equity, Technology, Finance
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