GreyCell Labs, Inc
Data Science Manager (Gen AI Palantir)
GreyCell Labs, Inc, Atlanta, Georgia, United States, 30383
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.
Key Responsibilities:
Lead and mentor a team of data scientists in designing, building, and deploying Generative AI solutions within Palantir, leveraging Ontology, Object Types, and AIP logic.
Define the roadmap and strategy for GenAI adoption in AIP, ensuring alignment with business goals and operational workflows.
Oversee the fine-tuning and adaptation of foundation models using Foundry-integrated pipelines, including custom training datasets and model evaluation logic.
Drive the design and implementation of scalable RAG pipelines using AIP Logics/ Foundry Code Workbooks, embedding models, and vector database integrations (e.g., FAISS, Pinecone, ChromaDB).
Establish best practices for prompt engineering, model evaluation, and bias mitigation within Foundry’s governance and audit framework.
Partner with product, engineering, and MLOps teams to deliver end-to-end AI workflows, integrating GenAI outputs into Workshop applications, APIs, and dashboards.
Stay ahead of emerging trends in LLMs, transformers, and GenAI, and translate them into Foundry-native implementations for continuous innovation.
Represent the Data Science team in leadership forums, communicating Palantir-centric technical concepts and business impact clearly.
Palantir Certified
Required Skills & Experience:
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.
Proven track record of delivering AI solutions, from concept to production, including ontology design, pipeline orchestration, and Workshop deployment.
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.
Experience with LLMs (e.g., GPT-4, Claude, Mistral, LLaMA) and GenAI ecosystems (LangChain, LlamaIndex, PromptFlow).
Knowledge of embedding models, semantic search, and vector databases, with experience integrating them into Ontology.
Familiarity with MLOps practices, especially in hybrid cloud deployments involving Palantir.
Strong leadership, people management, and stakeholder management skills.
Excellent communication skills with the ability to influence technical and non-technical audiences, especially in Foundry governance and data stewardship forums.
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Key Responsibilities:
Lead and mentor a team of data scientists in designing, building, and deploying Generative AI solutions within Palantir, leveraging Ontology, Object Types, and AIP logic.
Define the roadmap and strategy for GenAI adoption in AIP, ensuring alignment with business goals and operational workflows.
Oversee the fine-tuning and adaptation of foundation models using Foundry-integrated pipelines, including custom training datasets and model evaluation logic.
Drive the design and implementation of scalable RAG pipelines using AIP Logics/ Foundry Code Workbooks, embedding models, and vector database integrations (e.g., FAISS, Pinecone, ChromaDB).
Establish best practices for prompt engineering, model evaluation, and bias mitigation within Foundry’s governance and audit framework.
Partner with product, engineering, and MLOps teams to deliver end-to-end AI workflows, integrating GenAI outputs into Workshop applications, APIs, and dashboards.
Stay ahead of emerging trends in LLMs, transformers, and GenAI, and translate them into Foundry-native implementations for continuous innovation.
Represent the Data Science team in leadership forums, communicating Palantir-centric technical concepts and business impact clearly.
Palantir Certified
Required Skills & Experience:
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.
Proven track record of delivering AI solutions, from concept to production, including ontology design, pipeline orchestration, and Workshop deployment.
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.
Experience with LLMs (e.g., GPT-4, Claude, Mistral, LLaMA) and GenAI ecosystems (LangChain, LlamaIndex, PromptFlow).
Knowledge of embedding models, semantic search, and vector databases, with experience integrating them into Ontology.
Familiarity with MLOps practices, especially in hybrid cloud deployments involving Palantir.
Strong leadership, people management, and stakeholder management skills.
Excellent communication skills with the ability to influence technical and non-technical audiences, especially in Foundry governance and data stewardship forums.
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