

Gen AI Engineer/ Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Engineer/Data Scientist in the Healthcare sector, offering a long-term remote contract with a pay rate of "unknown." Requires 10+ years of experience, proficiency in Python, and expertise in AI frameworks and large language models.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 30, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Libraries #"ETL (Extract #Transform #Load)" #Leadership #PyTorch #Data Science #Langchain #TensorFlow #Transformers #Python #AI (Artificial Intelligence)
Role description
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Hello,
Hope you are doing great!
I am currently working on a job opportunity that aligns closely with your background. Please find the details below. If you are interested, I would love to discuss this further with you.
Position: Gen AI Engineer/ Data Scientist (Healthcare)
Location: Remote
Duration: Long Term
Experience: 10+ Years
Job Description:
β’ Design end-to-end AI system architectures that integrate GenAI and Agentic capabilities into enterprise platforms in Healthcare domains
β’ Proficiency in Python, with experience using libraries like Transformers (HuggingFace), LangChain, PyTorch, or TensorFlow.
β’ Evaluate and implement agent-based orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph).
β’ Hands-on experience with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integration (e.g., OpenAI GPT series, Anthropic Claude, Client Gemini, open-source models).
β’ Lead the development of Retrieval-Augmented Generation (RAG) pipelines and hybrid inferencing strategies.
β’ Serve as a technical advisor for responsible AI, model governance, and system explainability.
β’ Experience working with low-rank adaptation (LoRA), PEFT, or quantized models.
β’ Conduct architecture reviews and provide thought leadership on GenAI evolution, multi-agent design patterns, and emerging tools.