| Data Scientist : SAN JOSE, CA(Onsite) at San Jose, California, USA |
| Email: [email protected] |
| From: sachin chaudhary, K&K [email protected] Reply to: [email protected] Job Title: Data Scientist/Natural Language Processing (NLP) Engineer Location: SAN JOSE, CA(Onsite) Experience: Strong understanding of core machine learning algorithms and deep learning architectures. Proficiency in data cleaning and SQL queries. Experience in Natural Language Processing (NLP) including tokenization, stemming, lemmatization, and other text preprocessing techniques. Familiarity with word embeddings and vector representations of text. Experience in training and fine-tuning models for NLP tasks such as text classification, sentiment analysis, named entity recognition, etc. Familiarity with pre-trained language models like BERT, GPT, etc. Understanding of Generative AI is a plus, including GenAI, LLMs models (e.g., RAG), Fine-tuned models, Knowledge Lang chain, llama-index library. Good to have programming skills in Python. Experience with Cloud Platforms (Azure/AWS/GCP). Experience with data visualization tools such as Tableau or Thoughtspot. Strong analytical skills with the ability to scope out business problems. Independent, proactive, and collaborative working style. Excellent communication skills. Supply Chain experience is a plus. Responsibilities: Utilize machine learning and deep learning techniques to solve business problems. Clean and preprocess data using SQL queries and other techniques. Apply NLP techniques to process and analyze text data. Develop and train models for NLP tasks like text classification, sentiment analysis, named entity recognition, etc. Fine-tune pre-trained language models for specific tasks. Explore and experiment with generative AI models for various applications. Collaborate with cross-functional teams to understand business requirements and scope out solutions. Communicate findings and insights effectively to stakeholders Keywords: artificial intelligence California Data Scientist : SAN JOSE, CA(Onsite) [email protected] |
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| Tue Apr 30 20:54:00 UTC 2024 |