Palantir needs to solve real-world challenges and define ML strategy for their Defense clients by training, testing, deploying, and maintaining models that learn from data, leading the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies.
Requirements
- 8+ years of experience in data operations such as data science, data engineering, 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 with Git-based code repositories and CI/CD workflows
- Knowledge of working with Maven Smart Systems, including AIP
- Knowledge of DevSecOps best practices and software lifecycle methodologies
Responsibilities
- train, test, deploy, and maintain models that learn from data
- lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies
- share your knowledge with a large community of machine learning engineers across the company
- collaborate with key stakeholders, data engineers, developers, and data consumers to deliver world-class solutions
- develop scalable data pipelines
- build robust applications
- integrate various data sources to drive impactful decision-making
Other
- Ability to work in a fast-paced, Agile environment
- Ability to travel up to 20% of the time
- Secret clearance
- Possession of excellent problem-solving skills
- Experience working with different teams within the Department of Defense
