Public Health and Safety threats
Requirements
- 3+ years of experience in ML or data science
- 3+ years of experience developing production-grade ML solutions leveraging Python or R
- 2+ years of experience in ML frameworks and libraries such as TensorFlow or PyTorch
- 1+ years of experience in data engineering using PySpark and Palantir Foundry
- Experience with Palantir Foundry AIP
- Knowledge of cloud native services for data storage, computer, and ML such as Databricks, Domino, or Azure ML
- Ability to utilize generative AI, agent frameworks, and retrieval-augmented generation (RAG) implementation
Responsibilities
- Build and maintain complex data pipelines using PySpark and Palantir Foundry
- Develop and manage data models, ontology layers, and transform logic to support analytical use cases
- Lead the development, deployment, and optimization of ML models and algorithms
- Design and implement ML workflows, including generative AI, agent frameworks, and RAG pipelines, that address key business problems
- Collaborate with cross-functional teams such as product, data, and engineering, to understand business needs and translate them into ML solutions
- Stay current with the latest advancements in ML and AI and integrate new technologies and methods as applicable
- Contribute to the development of data governance, access control, and auditing mechanisms
Other
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor's degree
- Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client
- Must be on camera during interviews and assessments
- Must be willing to work in a remote or hybrid environment
