AI Software Engineer

Cooperidge Consulting Firm•Sarasota, FL

About The Position

Cooperidge Consulting Firm is seeking an AI/ML Software Engineer for a premier Defense & Intelligence Technology leader in Sarasota, FL. This role is designed for a high-drive engineer with a deep foundation in artificial intelligence and its practical application to complex signal processing. You will be responsible for designing and deploying AI/ML solutions that address critical SIGINT (Signals Intelligence) processing needs, including time-series data analysis and autonomous decision-making. Working within a high-stakes environment, you will build adaptive systems for the Department of Defense (DoD), ensuring that machine learning architectures can operate with elite accuracy, security, and low-latency inference in dynamic mission environments.

Requirements

BS degree or higher in Computer Science, Electrical Engineering, Mathematics, or a related field.
ACTIVE TS/SCI Clearance is REQUIRED.
U.S. Citizenship is REQUIRED.
Minimum of 1 year of professional AI/ML experience (3–5 years preferred).
Proven expertise in model development and deployment using modern libraries ( TensorFlow, PyTorch, scikit-learn ).
Strong background in neural network architectures , including deep learning and transformers.
Solid programming skills with experience in statistical and signal analysis libraries.
Deep understanding of MLOps , deployment pipelines, and testing/validation protocols.

Nice To Haves

Experience with RFML (Radio Frequency Machine Learning) or Digital Signal Processing.
Familiarity with LLMs , RAG, Agentic systems, or Reinforcement Learning (RLHF).
Proficiency with Docker/Kubernetes and cloud platforms ( AWS Bedrock, Azure OpenAI, Vertex AI ).
Experience with real-time inference, low-latency model serving, or adversarial ML.

Responsibilities

SIGINT Processing: Design and implement AI/ML models for event characterization, pattern recognition, and anomaly detection within high-volume sensor data streams.
Autonomous Decision-Making: Enable intelligent systems that operate with minimal human intervention, focusing on adaptive processing and system-state inference.
Enterprise Integration: Partner with team leads to integrate AI/ML capabilities into large-scale enterprise architectures, prioritizing performant processing and maintainability.
Architecture Development: Utilize Transformers , attention mechanisms, and deep learning architectures to discover features within time-series and RF data.
MLOps Oversight: Own the deployment and processing pipelines, ensuring rigorous testing, validation, and security of containerized models.
Real-World Impact: Develop tailored models to deliver intelligent insights in support of high-priority missions for the Intelligence Community.
Feature Discovery: Infer system states from underlying data streams to support critical analysis of sensor systems.