Leidos is seeking an ML Software / AI data engineer to work on challenging problems in various domains to develop and deploy Trusted Mission AI, which is AI that is accurate, ethical, reliable, and adaptable. The role involves delivering secure data products for use by AI agents.
Requirements
- Strong Python programming fundamentals
- Experience with data repositories and ETL techniques
- Good understanding of machine learning algorithms, tools and platforms
- Experience with AI/ML tools, such as common Python packages (e.g., scikit-learn, NumPy, Pandas)
- Experience with tabular data analysis using languages such as SQL, R, and/or Python
- Experience using generative AI and LLM-based tools
- Experience with statistical modeling and data analysis
Responsibilities
- Work with a team of agentic AI scientists, agentic AI scientists, data scientists and data engineers on defining and creating scalable data processing pipelines to generate quality data for use by AI.
- Develop, operate, and maintain data architectures that support discovery and metadata tagging
- Design and implement data access controls to produce a data transformation pipeline that discovers, repairs, logs, and deploys quality data plus security policy metadata
- Analyze data provided to detect anomalies
- Work with a team to design, build, train, and evaluate machine learning models
- Work within teams of AI/ML researchers and engineers using Agile development processes
Other
- Bachelor's degree in Computer Science, Data Science or related field and over 4+years of relevant experience, or a Masters with 2+ years experience. Additional experience may be considered in lieu of degree.
- Self-starter with high intellectual curiosity
- Great communication skills, able to explain model results to a non-technical audience
- Ability and willingness to obtain a Secret or Top Secret security clearance
