AI Software Engineer

AI/ML Software Engineer – Defense & Intelligence

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.

• 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.

• 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 (Tensor Flow, 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.

• 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.

• Comprehensive health, vision, and dental insurance plans.
• Life insurance coverage.
• 401(k) retirement plan with company matching contributions.
• Paid time off including vacation, sick leave, and holidays.
• Opportunities for career growth and advancement.