AI Software Engineer
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Overview
Job Description
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.
Requirements
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.
Benefits
- 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
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