Palantir needs an experienced engineer to train, test, deploy, and maintain machine learning models that learn from data to support mission-critical projects for their Defense clients. The role involves leading the direction of solutions by applying ML algorithms and introducing new technologies, sharing knowledge, and collaborating with stakeholders to develop scalable data pipelines, build robust applications, and integrate data sources for impactful decision-making.
Requirements
- 8+ years of experience in data operations such as data science, data engineering, and data platforms, AI/ML, or software development
- 5+ years of experience in a facet of Palantir, including data modeling, ontology mapping, or data visualization
- 5+ years of experience with Python or TypeScript
- 5+ years of experience with Pipeline Builder, AIP, and Foundry's application development ecosystems
- Experience working Databricks
- Experience with Git-based code repositories and CI/CD workflows
- Knowledge of working with Maven Smart Systems, including AIP
Responsibilities
- train, test, deploy, and maintain models that learn from data
- applying best-fit ML algorithms
- introducing leading-edge technologies
- develop scalable data pipelines
- build robust applications
- integrate various data sources
- guide clients as they navigate the landscape of ML algorithms, tools, and frameworks
Other
- Ability to work in a fast-paced, Agile environment
- Ability to travel up to 20% of the time
- Secret clearance
- Bachelor's degree
- Experience working with different teams within the Department of Defense
