AI/ML Software Engineer
Cooperidge Consulting Firm is seeking an AI/ML Software Engineer for a leading Defense & Intelligence Technology innovator in Sarasota, FL.
This role is designed for a high-drive engineer with a deep foundation in machine learning and its practical application to complex signal processing and SIGINT (Signals Intelligence). You will be responsible for designing and deploying AI/ML solutions that address critical decision-making needs for the Department of Defense and the Intelligence Community. From analyzing time-series data to developing autonomous sensing systems, you will build adaptive, secure architectures capable of discovering features and inferring system states in dynamic, real-world environments.
Job Responsibilities- SIGINT Engineering: Design and implement AI/ML solutions for event characterization, pattern recognition, and anomaly detection within SIGINT sensor systems.
- Autonomous Systems: Develop and enable autonomous decision-making systems that operate with minimal human intervention in complex environments.
- Architecture Integration: Partner with team leads to integrate ML capabilities into enterprise-level architectures, prioritizing performant processing and system maintainability.
- Predictive Modeling: Work with time-series data to develop models for automated analysis and intelligent insights in support of critical national security missions.
- MLOps Management: Oversee the deployment and processing pipelines, ensuring rigorous testing, validation, and security of all model deployments.
- Feature Discovery: Infer system states from underlying data streams and create adaptive processing systems for large-scale sensing platforms.
Requirements
Education & Security (Mandatory)
- Bachelor’s degree (BS) or higher in Computer Science, Electrical Engineering, Math, or a related field.
- ACTIVE TS/SCI Clearance is REQUIRED.
- U.S. Citizenship is REQUIRED.
Core Experience
- Minimum of 1 year of professional AI/ML experience (3–5 years highly preferred).
- Strong knowledge of model development and deployment using TensorFlow, PyTorch, or scikit-learn .
- Experience with Neural Network architectures , including Deep Learning and Transformers/Attention mechanisms.
- Solid programming background with exposure to statistical and signal analysis libraries.
- Mastery of MLOps principles, including processing pipelines and validation protocols.
Preferred "Nice-to-Have" Skills
- Understanding of Digital Signal Processing (DSP) fundamentals and RFML .
- Experience with LLMs , fine-tuning, prompt engineering, and RAG/Agentic systems.
- Familiarity with containerization ( Docker/Kubernetes ) and Cloud AI platforms ( AWS Bedrock, Vertex AI , etc.).
- Knowledge of adversarial ML and AI security/robustness techniques.
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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