Intellisoft Technologies
Lead Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist with a long-term contract in Malvern, PA (Hybrid). Requires over 12 years of experience and expertise in AWS, GenAI, LLM, NLP, and AI agent development. Skills in Python, PySpark, and TensorFlow are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Malvern, PA
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🧠 - Skills detailed
#TensorFlow #Langchain #RNN (Recurrent Neural Networks) #Spark (Apache Spark) #Python #AI (Artificial Intelligence) #NLP (Natural Language Processing) #AWS (Amazon Web Services) #PySpark #Data Science
Role description
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• Data Science Consultant Needed
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• Location:Malvern,PA (Hybrid)
Long Term
Consultant must have over 12 years of experience
Job Description:
Required Skills:
AWS, GenAI, LLM. NLP, Agentic AI, GANs, VAEs, CNN, RNN, speech recognition, image video analytics With skills in python, pyspark, Tensorflow
Agent Development
Design, build, and deploy autonomous AI agents capable of reasoning, decision-making, and task execution.
Use frameworks and tools such as LangChain, Semantic Kernel, or custom orchestration layers to create multi-step, multi-tool agents.
Prompt Engineering
Craft and optimize high-quality prompts to improve the reliability and effectiveness of generative AI outputs.
Develop prompt chains, system prompts, and context strategies for dynamic agent behavior.
Continuously test and iterate prompts based on use case feedback and model performance.
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• Data Science Consultant Needed
•
•
•
•
•
•
•
•
•
•
• Location:Malvern,PA (Hybrid)
Long Term
Consultant must have over 12 years of experience
Job Description:
Required Skills:
AWS, GenAI, LLM. NLP, Agentic AI, GANs, VAEs, CNN, RNN, speech recognition, image video analytics With skills in python, pyspark, Tensorflow
Agent Development
Design, build, and deploy autonomous AI agents capable of reasoning, decision-making, and task execution.
Use frameworks and tools such as LangChain, Semantic Kernel, or custom orchestration layers to create multi-step, multi-tool agents.
Prompt Engineering
Craft and optimize high-quality prompts to improve the reliability and effectiveness of generative AI outputs.
Develop prompt chains, system prompts, and context strategies for dynamic agent behavior.
Continuously test and iterate prompts based on use case feedback and model performance.
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