Job Summary
This role will be responsible for driving the design and implementation of Defense products across our Digital Battlespace portfolio including establishing technical vision, defining architecture and design, executing and guiding technical delivery activities, and collaborating with product stakeholders to deliver high-impact pilots and maturing them into mature products. You'll work with warfighters across command and control (C2), Intelligence, Surveillance and Reconnaissance (ISR), and Special Missions to deliver GenAI-based products that support DoD mission goals.
- Minimum Qualification: Degree
- Experience Level: Mid level
- Experience Length: 5 years
Job Description/Requirements
Nice To Have:
- 5+ years of experience building scalable, production Machine Learning systems spanning requirements analysis, design, planning, implementation, testing, and deployment
- 5 + years of experience writing production software in Java, Scala, or Python and deploying production workloads using cloud managed services including AWS, GCP, or Azure
- 2+ years of experience with DevOps, containerization, and orchestration tools including CI/CD pipelines, Docker, and Kubernetes
- Experience writing data processing pipelines using SQL, Spark, Kafka, or Flink
- Knowledge of software development best practices and design patterns
- Knowledge of Machine Learning Operations (MLOps) processes and associated technical concerns
- Ability to produce high quality narrative documents
- Ability to balance technical tradeoffs
- Ability to obtain a security clearance
- Bachelor’s degree
Nice to Have:
- Experience managing engineering teams and growing technical staff
- Experience with Generative AI
- Experience with developing products for the DoD, specifically in the domains of ISR and electronic warfare, Special Operations/Missions, and Command and Control
- Experience bringing products into the federal market, specifically bringing products to the DoD or the IC
- Possession of excellent verbal and written communication skills
- Secret clearance
- Master’s degree
- Solutions Architecture certification, such as AWS CSA or Azure Solutions Architect), Cloud Machine Learning certification, such as AWS Machine Learning, Azure Data Scientist Associate, or Databricks Certified Machine Learning Professional
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