iBrain Technologies, Inc

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 8-10+ years in AI/machine learning, requiring expertise in RAG and LLMs, Python proficiency, and cloud deployment experience. Contract length is unspecified, and pay rate is competitive. Remote work only; W2 candidates only.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 27, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#ChatGPT #Debugging #"ETL (Extract #Transform #Load)" #GitLab #AI (Artificial Intelligence) #Base #Azure #Agile #Indexing #BERT #Reinforcement Learning #Data Science #AWS (Amazon Web Services) #DevOps #Cloud #Python #Jenkins #GitHub #NLP (Natural Language Processing) #ML (Machine Learning)
Role description
Data Scientist w/ RAG and LLM experience Remote Only W2 candidate Top Skills: - Master's or PhD Preferred! - 8-10+ years of experience in AI and machine learning, model building and strong coding skills in python - 2+ years of working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. UTILIZING RAG! - Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. - Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation - DevOps repos Debugging, building APIs and managing the algorithm flow across multiple workstreams in one repo - Senior level experience deploying models in the Cloud (AWS) or Azure as secondary. RAG Systems: Experience and deep understanding of Retrieval-Augmented Generation (RAG), including concepts like embedding-based search, document retrieval, and combining retrieved information with LLMs. Hands-on experience with advanced RAG platform development and maintenance. Familiarity with knowledge base creation, indexing, and retrieval pipelines. Core Technical Skills Python Proficiency: Expertise in crafting effective prompts for LLMs tailored to specific tasks. Experience with techniques like zero-shot, few-shot prompting, prompt tuning, and chain of thought. Proficient with CI/CD pipelines and tools like Jenkins, GitHub Actions, or GitLab CI. Ability to work collaboratively with cross-functional teams in Agile settings. Proficiency with code review practices and tools. AI and NLP Knowledge NLP Expertise: Please send your resume to arunima@ibrain-tech.com