The company is looking to solve the problem of augmenting human intelligence, streamlining workflows, and enhancing the overall effectiveness of intelligence operations by developing and integrating AI advancements into the existing architecture.
Requirements
- Minimum of 6 years of software development experience
- Experience with Amazon Web Services (AWS) cloud computing platform
- Experience with machine learning operations (MLOps) tools
- Ability to design and develop AI-driven solutions
- Ability to conduct Exploratory Data Analysis (EDA) on diverse datasets
- Ability to develop, train, and evaluate machine learning models
Responsibilities
- Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture. This includes prototyping new models, writing production-quality code, and maintaining existing AI systems.
- Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
- Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
- Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements. Implement robust testing and validation strategies to ensure models are accurate and unbiased.
- Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
- Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.
Other
- Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required.
- Four (4) years of additional developer experience may be substituted for a Bachelor’s degree.
- Active TS/SCI with an appropriate polygraph is required to be considered for this role.
- Ability to effectively present and articulate recommended AI approaches to both technical and non-technical stakeholders.
