Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Skills
NLP
LLM
Natural Language Processing
Elasticsearch
Elastic search
ELK
python
RAG
Retrieval-Augmented Generation
Retrieval Augmented Generation
Large Language Model
Large Language Models
vector
Job Details
Job Title: Data Scientist
Location: Remote Job Duration: 6 Months+
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.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines to improve search and conversational AI systems.
- Collaborate with cross-functional teams to deploy data-driven search enhancements and GenAI solutions.
- Analyze and fine-tune search relevance based on user behavior and search intent from querylog.
Qualifications:
- Experience in running and fine-tuning models from Hugging face
- Familiarity with building and deploying RAG pipelines
- Familiarity with vector databases like Elasticsearch, Pinecone, etc.
- Strong programming skills (e.g., Python, TensorFlow, PyTorch, SQL)
- Experience in model deployment & MLOps is a plus
- Experience with cloud platforms (AWS) is a plus.
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