AI/ML Software Engineer

Cooperidge Consulting Firm•South Sarasota, FL

28d

About The Position

Cooperidge Consulting Firm is seeking an AI/ML Engineer for a top Signal Processing/Defense client. This critical role designs, develops, and implements Artificial Intelligence/Machine Learning solutions for complex Signal Intelligence (SIGINT) processing and decision-making problems. The Engineer focuses on building models for event characterization, anomaly detection, and automated analysis of large-scale sensing systems to deliver intelligent insights for critical Intelligence Community and Department of Defense missions, requiring a high degree of drive and dedication.

Requirements

Bachelor of Science (BS) degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or a related field is required.
Minimum of one (1) year of hands-on experience in AI or ML in a professional environment is required (3–5 years preferred).
US Citizenship is MANDATORY.
Active TS/SCI clearance is MANDATORY.
Strong programming background with experience using statistical and signal analysis libraries is required.
Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).
Experience with neural network architectures, including deep learning models, and understanding of transformer architectures is required.

Nice To Haves

Experience in design, deployment, and support of AI/ML models for significant real-world applications is desirable.
Knowledge of digital signal processing fundamentals, RFML, LLMs (fine-tuning, prompt engineering), and adversarial ML techniques is preferred.
Experience creating and deploying containerized AI models (Docker/Kubernetes) or working with cloud AI platforms (AWS, Azure, Google) is preferred.

Responsibilities

Design, develop, and implement AI/ML solutions for a wide range of decision-making and SIGINT processing needs, including working with time-series data.
Develop specialized models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.
Work closely with team leads to successfully integrate AI/ML capabilities into enterprise architectures.
Ensure performant processing while strictly considering aspects of model accuracy, security, and long-term maintainability.
Enable autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments.
Discover features and infer system states from underlying data streams to support large-scale sensing systems and deliver intelligent insights.
Apply strong knowledge of MLOps, deployment, processing pipelines, testing, and validation to all solutions.