AI/ML Technical SETA (mid-level #24-059)
- Military veterans preferred
2024-04-12 Strategic Analysis, Inc.
Other
/yr
employee
contract
Washington Virginia 20010 United States
Strategic Analysis, Inc.
Strategic Analysis, Inc. is an EOE Minorities/Females/Disabled/Veterans.
Job Code: 24-059 Location: Washington, D.C. - Hybrid FT/PT Status: Full Time Required Clearance: Ability To Obtain a Public Trust
Strategic Analysis, Inc (SA) is seeking a versatile, skilled AI/ML Technical SETA to support the Advanced Research Projects Agency for Health (ARPA-H) activities. ARPA-H Resilient Systems Office requires a Technical SETA to play a crucial role in the planning, coordination, and execution of related activities within the ARPA-H organization.
Specific Duties Required:
Provide technical guidance to external teams working on large-scale data projects.
Ensure robust and scalable data solutions are implemented with a strong focus on security and compliance.
Analyze scientific and technical data with respect to novelty, rigor and robustness.
Evaluate and advise on cloud-based technologies and architectures.
Under the leadership of a PM, build and maintain detailed program plans.
Assist in writing and review of technical documents and solicitations.
Qualifications:
Clearance - HHS, NIH Public Trust (Ability to obtain)
Education - Masters or PhD.in AI or Machine Learning or related field
Experience required:
5+ years of experience preferred in roles such as AI research Scientist, Machine Learning Engineer or Data Scientist specializing in AI/ML
Proficiency with large cloud-based systems like Google Bigquery, Amazon Redshirt, and others like Hadoop, Spark, etc.
Ability to implement and manage data warehousing solutions, datalakes and ETL processes in cloud environment at a terbyte or perabyte scale is a plus.
Proficiency with training on one or more models, such as large language models, transformer-based models, state space models, and variational autoencoders.
At least 2 first author publications in the fields described above (AI/ML).
Experience with synthetic data generation, and analysis is a plus.
Basic administrative tasks such as PowerPoint slide development and collecting, sorting, analyzing, and writing Internal programmatic reports/briefings on relevant topics in a health-related field.
Ability to brainstorm with colleagues, manage priorities and meet deadlines.
