Data Scientist/Natural Language Processing (NLP) Engineer _ San Jose, CA

Hi,

Our Customer has a Role for Onsite: Data Scientist/Natural Language Processing (NLP) Engineer _ San Jose, CA. Please share your resume if you would like to discuss it further.

Email: - arun@spvibes.com

Data Scientist/ Natural Language Processing (NLP) Engineer

San Jose, CA

Duration: 8 Months

On-Site Role

Role Description: Natural Language Processing (NLP) Engineer. 1. Machine Learning and Deep Learning: (Mandatory)Understanding of Core machine learning algorithms and deep learning architectures. Strong Hold on Data cleaning , SQL queries. 2. Natural Language Processing:(Mandatory) Proficiency in tokenization, stemming, lemmatization, and other text preprocessing techniques. Experience with word embeddings and vector representations of text. Experience with training and fine-tuning models for NLP tasks like text classification, sentiment analysis, named entity recognition, etc. Familiarity with pre-trained language models like BERT, GPT, etc.3. Generative AI (Good to have) Understanding of GenAI, LLMs models RAG, Fine-tuned models, Knowledge Lang chain, llama-index library \4. Other Skillets (Good to have) Programming skills in Python Experience with Cloud Platform (Azure/AWS/GCP) Experience with data Visualization (Tableau/Thoughtspot) Strong Analytical skills has ability to scope out business problems to be solved. Independent, proactive, and collaborative working style. Excellent communications, Supply Chain experience

Competencies: Digital : Data Science, Digital : Deep Learning, Digital : Machine Learning, Digital : Natural Language Processing (NLP)

Experience (Years): 6-8

Essential Skills: Natural Language Processing (NLP) Engineer. 1. Machine Learning and Deep Learning: (Mandatory)Understanding of Core machine learning algorithms and deep learning architectures. Strong Hold on Data cleaning , SQL queries. 2. Natural Language Processing:(Mandatory) Proficiency in tokenization, stemming, lemmatization, and other text preprocessing techniques. Experience with word embeddings and vector representations of text. Experience with training and fine-tuning models for NLP tasks like text classification, sentiment analysis, named entity recognition, etc. Familiarity with pre-trained language models like BERT, GPT, etc.3. Generative AI (Good to have) Understanding of GenAI, LLMs models RAG, Fine-tuned models, Knowledge Lang chain, llama-index library \4. Other Skillets (Good to have) Programming skills in Python Experience with Cloud Platform (Azure/AWS/GCP) Experience with data Visualization (Tableau/Thoughtspot) Strong Analytical skills has ability to scope out business problems to be solved. Independent, proactive, and collaborative working style. Excellent communications, Supply Chain experience

Desirable Skills: Natural Language Processing (NLP) Engineer. 1. Machine Learning and Deep Learning: (Mandatory)Understanding of Core machine learning algorithms and deep learning architectures. Strong Hold on Data cleaning , SQL queries. 2. Natural Language Processing:(Mandatory) Proficiency in tokenization, stemming, lemmatization, and other text preprocessing techniques. Experience with word embeddings and vector representations of text. Experience with training and fine-tuning models for NLP tasks like text classification, sentiment analysis, named entity recognition, etc. Familiarity with pre-trained language models like BERT, GPT, etc.3. Generative AI (Good to have) Understanding of GenAI, LLMs models RAG, Fine-tuned models, Knowledge Lang chain, llama-index library \4. Other Skillets (Good to have) Programming skills in Python Experience with Cloud Platform (Azure/AWS/GCP) Experience with data Visualization (Tableau/Thoughtspot) Strong Analytical skills has ability to scope out business problems to be solved. Independent, proactive, and collaborative working style. Excellent communications, Supply Chain experience

Keywords: Natural Language Processing (NLP) Engineer. 1. Machine Learning and Deep Learning: (Mandatory)Understanding of Core machine learning algorithms and deep learning architectures. Strong Hold on Data cleaning , SQL queries. 2. Natural Language Processing:(Mandatory) Proficiency in tokenization, stemming, lemmatization, and other text preprocessing techniques. Experience with word embeddings and vector representations of text. Experience with training and fine-tuning models for NLP tasks like text classification, sentiment analysis, named entity recognition, etc. Familiarity with pre-trained language models like BERT, GPT, etc.3. Generative AI (Good to have) Understanding of GenAI, LLMs models RAG, Fine-tuned models, Knowledge Lang chain, llama-index library \4. Other Skillets (Good to have) Programming skills in Python Experience with Cloud Platform (Azure/AWS/GCP) Experience with data Visualization (Tableau/Thoughtspot) Strong Analytical skills has ability to scope out business problems to be solved. Independent, proactive, and collaborative working style. Excellent communications, Supply Chain experience

Thank you,

Arun Kumar

Talent Acquisition Manager

Mobile: 215-254- 5883.