AI Software Engineer

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.

Job 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.

Education & Legal

• 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.

Experience

• 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-Have (Bonus Skills)

• 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