Posted today
Secret
Senior Level Career (10+ yrs experience)
$165,000 - $185,000
Occasional travel
IT - Data Science
Remote/Hybrid•Arlington, VA (Off-Site/Hybrid)
Job Description
This role applies modern machine learning techniques, data engineering practices, and platform-based development to deliver scalable, secure, and operational AI solutions.
The ideal candidate will have hands-on experience with Palantir Foundry, strong Python and data pipeline development skills, and the ability to integrate, train, deploy, and optimize ML models across enterprise environments. This role supports both development and operationalization of AI/ML capabilities to enable mission-critical decision support and automation.
Key Responsibilities
Design, develop, train, and deploy machine learning models using enterprise data platforms and modern ML frameworks
Build and maintain robust ETL/ELT pipelines and complex data workflows, ensuring data quality, lineage, and version control
Develop pipelines and custom logic within Palantir Foundry and Forge platforms
Define and leverage Foundry Ontology to model, organize, and link enterprise data
Build user workflows and operational applications in Foundry (low-code/no-code + custom code)
Implement and integrate LLM-based capabilities via Python-based APIs and libraries
Conduct feature engineering, model evaluation, and performance tuning
Collaborate with data scientists, software engineers, and mission stakeholders to deploy AI into production environments
Implement cloud-based ML deployment best practices (AWS/Azure)
Develop dashboards, visualizations, and interactive analytic tools for stakeholders
Ensure system and data security practices align with federal cybersecurity standards
Document technical processes, pipelines, and model lifecycle procedures
Required Qualifications
Must hold a current Secret Clearance
BA/BS in Computer Science, Engineering, Data Science, Mathematics, or related field OR equivalent experience
5+ years' experience with machine learning, data engineering, or platform-based AI delivery
Hands-on experience with Palantir Foundry
Proficiency in Python for ML and pipeline development
Experience implementing and calling LLM APIs and LLM-driven applications
Proficiency with SQL, PySpark / Spark
Experience building data pipelines and integrating large-scale data from multiple sources
Experience with cloud environments (AWS and/or Azure)
Experience with Machine learning model design, training, and deployment
Experience with LLM integration & API-driven AI development
Experience with ETL/ELT pipeline engineering
Experience with data quality, governance, and version control
Experience with full-stack data platform application development
Strong problem-solving and collaboration skills
Clear, mission-focused communication
Desired Qualifications
Data security best practices and secure AI deployment
Model monitoring and MLOps tools
Dashboards and analytic tools (e.g., Foundry Contour, Power BI, Tableau)
Palantir Foundry pipelines & ontology modeling
This role applies modern machine learning techniques, data engineering practices, and platform-based development to deliver scalable, secure, and operational AI solutions.
The ideal candidate will have hands-on experience with Palantir Foundry, strong Python and data pipeline development skills, and the ability to integrate, train, deploy, and optimize ML models across enterprise environments. This role supports both development and operationalization of AI/ML capabilities to enable mission-critical decision support and automation.
Key Responsibilities
Design, develop, train, and deploy machine learning models using enterprise data platforms and modern ML frameworks
Build and maintain robust ETL/ELT pipelines and complex data workflows, ensuring data quality, lineage, and version control
Develop pipelines and custom logic within Palantir Foundry and Forge platforms
Define and leverage Foundry Ontology to model, organize, and link enterprise data
Build user workflows and operational applications in Foundry (low-code/no-code + custom code)
Implement and integrate LLM-based capabilities via Python-based APIs and libraries
Conduct feature engineering, model evaluation, and performance tuning
Collaborate with data scientists, software engineers, and mission stakeholders to deploy AI into production environments
Implement cloud-based ML deployment best practices (AWS/Azure)
Develop dashboards, visualizations, and interactive analytic tools for stakeholders
Ensure system and data security practices align with federal cybersecurity standards
Document technical processes, pipelines, and model lifecycle procedures
Required Qualifications
Must hold a current Secret Clearance
BA/BS in Computer Science, Engineering, Data Science, Mathematics, or related field OR equivalent experience
5+ years' experience with machine learning, data engineering, or platform-based AI delivery
Hands-on experience with Palantir Foundry
Proficiency in Python for ML and pipeline development
Experience implementing and calling LLM APIs and LLM-driven applications
Proficiency with SQL, PySpark / Spark
Experience building data pipelines and integrating large-scale data from multiple sources
Experience with cloud environments (AWS and/or Azure)
Experience with Machine learning model design, training, and deployment
Experience with LLM integration & API-driven AI development
Experience with ETL/ELT pipeline engineering
Experience with data quality, governance, and version control
Experience with full-stack data platform application development
Strong problem-solving and collaboration skills
Clear, mission-focused communication
Desired Qualifications
Data security best practices and secure AI deployment
Model monitoring and MLOps tools
Dashboards and analytic tools (e.g., Foundry Contour, Power BI, Tableau)
Palantir Foundry pipelines & ontology modeling
group id: 10490845
