March 15
• Develop model evaluation frameworks based on task requirements • Implement training and inference pipelines • Implement models as components of production system • Conduct research, and document findings and designs • Push the capabilities of system by introducing state of the art techniques
• Work within Natural Language Processing Implementation • Training and fine-tuning of deep learning models • Deployment of ML models at scale (Serving models, Optimization) • Experience with ML frameworks • Following state of the art deep learning and large language modeling
• Envisioned applications in various domains • Opportunity to work on a cutting-edge AI system • Contribution to the development of an inference pipeline
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