Lead full lifecycle AI/ML system development in Palantir Foundry, including data pipeline integration, feature engineering, model implementation, deployment, and production monitoring
Design, develop, and optimize machine learning models and algorithms for performance, scalability, and reliability
Collaborate with data scientists and engineers to transition models from research and experimentation into production systems
Build and maintain model deployment, versioning, and monitoring workflows
Integrate AI/ML solutions into existing platforms and business processes
Evaluate and apply emerging AI/ML technologies where they provide clear business value
Ensure robustness, maintainability, and performance of deployed AI/ML systems in operational environments

Requirements

5+ years of hands-on experience building, deploying, and maintaining AI/ML systems end-to-end in production environments
Proficiency in programming languages such as Python, R, or Java
Expertise in AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras)
Experience delivering AI/ML solutions in Palantir Foundry (e.g., Code Workbooks, Code Authoring, pipelines, model operationalization)
Strong understanding of machine learning techniques, including supervised and unsupervised learning and deep learning approaches
Experience with model deployment, monitoring, and MLOps tooling (e.g., Docker, Kubernetes, MLflow or similar)
Experience working with large-scale data systems and cloud or hybrid environments
Strong analytical and problem-solving skills, with the ability to work with complex systems and datasets
Excellent communication skills to explain technical concepts to non-technical stakeholders and collaborate across teams
5+ years of hands-on experience delivering AI/ML solutions end-to-end in production environments, including data ingestion, feature engineering, model development, deployment, and ongoing monitoring
3+ years of practical experience building and operationalizing AI/ML systems in Palantir Foundry (e.g., Code Workbooks, Code Authoring, pipelines, model operationalization)
Advanced degree in Artificial Intelligence, Machine Learning, Data Science, or related fields

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML system developmentdata pipeline integrationfeature engineeringmodel implementationmodel deploymentmodel monitoringmachine learning techniquessupervised learningunsupervised learningdeep learning

Soft Skills

analytical skillsproblem-solving skillscommunication skillscollaboration skills

Certifications

Advanced degree in Artificial IntelligenceAdvanced degree in Machine LearningAdvanced degree in Data Science