Data Scientist/AI
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist/AI with a contract length of "unknown", offering a pay rate of "unknown". It requires 2+ years in GenAI/LLM applications, 1+ year in Agentic AI systems, proficiency in Python, and experience with NLP and RL algorithms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Hartford, CT
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Version Control #Python #AWS (Amazon Web Services) #NLP (Natural Language Processing) #Data Science #Libraries #GIT #ML (Machine Learning) #PyTorch #GCP (Google Cloud Platform) #Azure #Reinforcement Learning #Langchain #TensorFlow #Transformers #Cloud #"ETL (Extract #Transform #Load)" #Datasets
Role description
• Required 2+ years of experience developing and deploying GenAI/LLM powered applications/products
• Required 1+ years of experience building Agentic AI systems, including planning, reasoning, and decision-making components.
• Required proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, transformers, LangChain, LangGraph, Autogen, LLamaIndex etc.).
• Required experience with Natural Language Processing (NLP) techniques, including text generation, understanding, and summarization.
• Required experience with Reinforcement Learning (RL) algorithms and their application to agent training.
• Required experience working with large datasets and cloud computing platforms (e.g., AWS, GCP, Azure, IBM, Salesforce).
• Required experience with version control systems (e.g., Git).
• Required 2+ years of experience developing and deploying GenAI/LLM powered applications/products
• Required 1+ years of experience building Agentic AI systems, including planning, reasoning, and decision-making components.
• Required proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, transformers, LangChain, LangGraph, Autogen, LLamaIndex etc.).
• Required experience with Natural Language Processing (NLP) techniques, including text generation, understanding, and summarization.
• Required experience with Reinforcement Learning (RL) algorithms and their application to agent training.
• Required experience working with large datasets and cloud computing platforms (e.g., AWS, GCP, Azure, IBM, Salesforce).
• Required experience with version control systems (e.g., Git).
