What are the responsibilities and job description for the Senior Data Scientist position at Pronix Inc?
Job Details
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Role: Senior Data Scientist - W2 only
Work location: Remote
Duration: 6 Months
Visa: /EAD/L2EAD
Interview rounds: Webcam (3-4 rounds with Implemantation partner & End client)
Work location: Remote
Duration: 6 Months
Visa: /EAD/L2EAD
Interview rounds: Webcam (3-4 rounds with Implemantation partner & End client)
Must have skills: Elastic Search, Generative AI Fundamentals (Strong), Python for Data Science (Strong), RAG, Vector Illustration
Job Description:
Data Scientist with ~6 years of expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI (GenAI).
The ideal candidate will have hands-on experience with search-related work, including relevance tuning, text classification, and topic modeling.
Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities:
Develop and optimize NLP models for text classification, text clustering, topic modeling, and relevance tuning in search.
Work with LLMs to build advanced generative AI solutions for search and chat applications.
Data Scientist with ~6 years of expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI (GenAI).
The ideal candidate will have hands-on experience with search-related work, including relevance tuning, text classification, and topic modeling.
Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities:
Develop and optimize NLP models for text classification, text clustering, topic modeling, and relevance tuning in search.
Work with LLMs to build advanced generative AI solutions for search and chat applications.
Qualifications:
Experience in running and fine-tuning models from Hugging face
Familiarity with vector databases like Elasticsearch, Pinecone, etc.
Strong programming skills (e.g., Python, TensorFlow, PyTorch, SQL)
Experience with cloud platforms (AWS) is a plus.
Experience in running and fine-tuning models from Hugging face
Familiarity with vector databases like Elasticsearch, Pinecone, etc.
Strong programming skills (e.g., Python, TensorFlow, PyTorch, SQL)
Experience with cloud platforms (AWS) is a plus.
If you're interested, please share your resume to
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