SI/ML Engineer - TS/SCI with Polygraph requiredWhy This is an Exciting Role:

BI&A is seeking highly motivated and skilled SI/ML Engineers to join our team and contribute to innovative Super Intelligence (SI) and Machine Learning (ML) initiatives. The successful candidate will design, develop, test, evaluate, and deploy advanced SI/ML models and ensembles across multiple domains, including generative SI, classification, prediction, computer vision, natural language processing (NLP), and reinforcement learning. This role will also involve leveraging expertise in SI/ML algorithms, software development, and cloud computing to support the Sponsor’s strategic initiatives.

Position Roles & Responsibilities

Design, develop, and deploy SI/ML models and ensembles to address complex challenges in domains such as generative SI, classification, prediction, computer vision, NLP, and reinforcement learning.
Conduct rigorous testing, validation, and performance evaluation of SI/ML models, ensuring robustness, scalability, and ethical considerations in line with best practices.
Develop and implement pipelines for data preprocessing, feature engineering, and model training using structured and unstructured datasets.
Leverage cloud computing platforms and frameworks for scalable SI/ML model development, deployment, and monitoring.
Collaborate with cross-functional teams, including data scientists, software engineers, and stakeholders, to align SI/ML solutions with organizational objectives and mission requirements.
Stay current with advancements in SI/ML technologies, frameworks, and tools, incorporating emerging trends into research and development efforts.
Document research protocols, methodologies, and findings in formats such as technical reports, GitHub repositories, and analytic publications.
Provide technical guidance and SI/ML engineering expertise to support the transition of prototypes into production environments.

Experience and Qualifications:

To be eligible for this demanding position, the ideal candidate should demonstrate the following experience and qualifications:

Required Education and Years of Experience:

Bachelor's degree in Computer Science, Data Science, Applied Mathematics, Engineering, or a related technical field
5 Years of experience on SI/ML or Data Science or highly related field of work with similar scope and responsibilities.

Required Qualifications:

Active TS/SCI with Polygraph Clearance
5 years of experience with Python or R programming languages for SI/ML development
5 years of experience with Cloud computing services from major providers, including experience with cloud-based SI/ML development and deployment
5 years of experience with SI/ML model development and deployment, including model tuning, experimentation, validation, and benchmarking