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Azure GenAI Data Scientist
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- Design, develop, deploy and improve production-grade near realtime scalable machine learning and statistical predictive models and NLP from near realtime call transcripts and utterances
- Develop Client algorithms and models using state-of-the-art techniques in NLP model architectures and algorithms such as BERT (and derivatives like BioBERT, RoBERTa, ALBERT etc.)
- Design, implement, deploy, and maintain deep learning and Client models using cloud technologies (e.g., Azure Databricks, MLFlows and Azure Client)
- BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields
- 5+ years experience in designing, developing and deploying production-grade machine learning solutions in NLP (NLTK, Spark NLP, spaCy, HuggingFace, Flair, NLTK, etc) for real-world business problems
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