Senior AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include medical NLP, reinforcement learning, Python, and proficiency in ML frameworks like PyTorch. Experience with domain-specific datasets is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 15, 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
United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Python #Reinforcement Learning #"ETL (Extract #Transform #Load)" #PyTorch #NLP (Natural Language Processing) #ML (Machine Learning)
Role description
Job Description:
Strong medical NLP experiences
• A highly skilled Generative AI / Large Language Model Specialist with expertise in domain-specific dataset preparation, advanced fine-tuning, and multi-step agentic system design.
• The ideal candidate will have hands-on experience working with medical data, along with a strong background in reinforcement learning, reward modelling, and embedding optimization.
• Proven track record in medical NLP or domain-specific LLM projects.
• Strong understanding of transformer architectures, embedding models, and prompt engineering.
• Proficiency in Python and ML frameworks (e.g., PyTorch, Cuda).
Job Description:
Strong medical NLP experiences
• A highly skilled Generative AI / Large Language Model Specialist with expertise in domain-specific dataset preparation, advanced fine-tuning, and multi-step agentic system design.
• The ideal candidate will have hands-on experience working with medical data, along with a strong background in reinforcement learning, reward modelling, and embedding optimization.
• Proven track record in medical NLP or domain-specific LLM projects.
• Strong understanding of transformer architectures, embedding models, and prompt engineering.
• Proficiency in Python and ML frameworks (e.g., PyTorch, Cuda).
