Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 2-3 years of AI experience, proficient in Python and LLM models, including Langchain. Contract length and pay rate are unspecified, with preferred skills in cloud platforms and containerization technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 30, 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
Boca Raton, FL
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🧠 - Skills detailed
#Langchain #PyTorch #Python #Azure #AI (Artificial Intelligence) #DevOps #Kubernetes #Programming #NLG (Natural Language Generation) #Databases #Docker #Data Science #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Cloud
Role description
Required Qualifications
Skill set:
• Experience utilizing LLM models,
• Langchain,
• Python (REQUIRED),
• someone who has AI developing experience and is SEASONED/mid-tier to advanced.
• Looking for 2-3 years exp with AI.
Primary Skills :
Preferred Skills:
• Experience with cloud computing platforms (e.g., Azure, AWS, Google Cloud) and their AI services.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes) and DevOps practices.
• Contributions to open-source projects or publications in relevant AI research fields.
• Python programming.
• Microsoft Megatron-Turing NLG, Google PaLM, OpenAI GPT, LLaMA, or similar models.
• LangChain, PyTorch, LlamaIndex, or similar frameworks.
• Advanced prompt engineering.
• Retrieval Augmented Generation (RAG).
• Vector databases (GCP Vector Search, ChromaDB, Pinecone, PQ Vector, or similar).
Required Qualifications
Skill set:
• Experience utilizing LLM models,
• Langchain,
• Python (REQUIRED),
• someone who has AI developing experience and is SEASONED/mid-tier to advanced.
• Looking for 2-3 years exp with AI.
Primary Skills :
Preferred Skills:
• Experience with cloud computing platforms (e.g., Azure, AWS, Google Cloud) and their AI services.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes) and DevOps practices.
• Contributions to open-source projects or publications in relevant AI research fields.
• Python programming.
• Microsoft Megatron-Turing NLG, Google PaLM, OpenAI GPT, LLaMA, or similar models.
• LangChain, PyTorch, LlamaIndex, or similar frameworks.
• Advanced prompt engineering.
• Retrieval Augmented Generation (RAG).
• Vector databases (GCP Vector Search, ChromaDB, Pinecone, PQ Vector, or similar).
