360 Technology

Data Science Gen AI Manager

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Gen AI Manager with a contract length of "unknown," offering a pay rate of "unknown." Required skills include 10+ years in Data Science, expertise in Generative AI, Palantir, Python, and strong leadership abilities.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 7, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#AI (Artificial Intelligence) #ML (Machine Learning) #PyTorch #Databases #Cloud #Langchain #Leadership #Palantir Foundry #"ETL (Extract #Transform #Load)" #Python #Hugging Face #TensorFlow #Transformers #Deployment #Data Science #Data Stewardship
Role description
We are seeking an accomplished and forward-thinking Data Science Manager with deep expertise in Generative AI and Palantir Foundry/ AIP to lead our AI initiatives. In this role, you will architect and operationalize enterprise-grade GenAI solutions using Palantir’s platform, including LLM-based applications, Retrieval-Augmented Generation (RAG) pipelines, and model fine-tuning workflows. You will guide a team of data scientists and engineers while collaborating with cross-functional stakeholders to deliver impactful AI products that transform business processes across Foundry environments. Required Skills & Experience β€’ 10+ years of experience in Data Science / Machine Learning, including 3+ years leading teams and hands-on work in LLMs / Generative AI within enterprise platforms like Palantir. β€’ Proven track record of delivering AI solutions, from concept to production, including ontology design, pipeline orchestration, and Workshop deployment. β€’ Strong expertise in Python and ML/AI frameworks (Transformers, LangChain, PyTorch, TensorFlow, Hugging Face), with experience integrating them into Foundry Code Workbooks and AIP logic functions. β€’ Experience with LLMs (e.g., GPT-4, Claude, Mistral, LLaMA) and GenAI ecosystems (LangChain, LlamaIndex, PromptFlow). β€’ Knowledge of embedding models, semantic search, and vector databases, with experience integrating them into Ontology. β€’ Familiarity with MLOps practices, especially in hybrid cloud deployments involving Palantir. β€’ Strong leadership, people management, and stakeholder management skills. β€’ Excellent communication skills with the ability to influence technical and non-technical audiences, especially in Foundry governance and data stewardship forums.