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Work with our team of experts to develop RAG enhancement, LLM optimization and fine-tuning, HW-SW co-optimization.
Additionally, help analyze large datasets to identify trends, patterns, and insights that inform the development of machine learning models.
Collaborate with cross-functional teams to integrate machine learning models into our product roadmap and ensure seamless integration with existing systems.
Develop and maintain documentation of machine learning models, including data requirements, model architecture, and performance metrics.
Stay up to date with the latest developments in machine learning and related technologies and apply this knowledge to improve our products and services.
Behavior skills we are looking for:
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research and relevant previous job and/or internship experience.
Minimum Qualifications:
Currently pursuing a Ph.D. degree in Computer Science, Electronics/Computer Engineering, Machine Learning, or any STEM related field and has 1+ years’ experience of the following skills:
Machine learning, data analysis, and statistical modeling.
Machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
Preferred Qualifications:
Experience with programming languages such as Python, C++, or C# is preferred.
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