AI/ML Software Engineer

Cooperidge Consulting Firm; Sarasota (FL); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Overtime/weekend opportunities

Competitive wages

Health, vision, dental insurance

Life insurance

401(k) matching

Paid time off

Job summary

Cooperidge Consulting Firm seeks an AI/ML Engineer to design and deploy intelligence-grade models for SIGINT processing and decision support. The role emphasizes time-series analysis, anomaly detection, and robust AI tooling in a defense context.

You will collaborate with leads to embed AI/ML capabilities into complex architectures, maintaining strict performance, security, and long-term maintainability near critical intelligence mission requirements.

Qualifications

• Bachelor of Science degree is required.

Responsibilities

• Design, develop, and implement AI/ML solutions for SIGINT processing and time-series data.
• Develop models for event characterization, pattern recognition, anomaly detection, and automated analysis of sensing systems.
• Integrate AI/ML capabilities into enterprise architectures with team leads.
• Ensure performance, security, and maintainability of models.
• Enable autonomous decision-making systems for dynamic environments.
• Identify features and states from data streams to support large-scale sensing.

Skills

Programming background

ML model development

Deep learning

Transformer architectures

DSP fundamentals

RFML

LLMs

Docker/Kubernetes

Cloud platforms

Education

BS in CS/EE/CE/Math

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Cooperidge Consulting Firm is seeking an AI/ML Engineer for a top Signal Processing/Defense client.

This critical role designs, develops, and implements Artificial Intelligence/Machine Learning solutions for complex Signal Intelligence (SIGINT) processing and decision-making problems. The Engineer focuses on building models for event characterization, anomaly detection, and automated analysis of large-scale sensing systems to deliver intelligent insights for critical Intelligence Community and Department of Defense missions, requiring a high degree of drive and dedication.

Job Responsibilities

• Design, develop, and implement AI/ML solutions for a wide range of decision-making and SIGINT processing needs, including working with time-series data.
• Develop specialized models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.
• Work closely with team leads to successfully integrate AI/ML capabilities into enterprise architectures.
• Ensure performant processing while strictly considering aspects of model accuracy, security, and long-term maintainability.
• Enable autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments.
• Discover features and infer system states from underlying data streams to support large-scale sensing systems and deliver intelligent insights.
• Apply strong knowledge of MLOps, deployment, processing pipelines, testing, and validation to all solutions.

Education

• Bachelor of Science (BS) degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or a related field is required.

Experience

• Minimum of one (1) year of hands-on experience in AI or ML in a professional environment is required (3–5 years preferred).
• Experience in design, deployment, and support of AI/ML models for significant real-world applications is desirable.

Certifications/Licenses

• US Citizenship is MANDATORY.
• Active TS/SCI clearance is MANDATORY.

Skills

• Strong programming background with experience using statistical and signal analysis libraries is required.
• Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).
• Experience with neural network architectures, including deep learning models, and understanding of transformer architectures is required.
• Knowledge of digital signal processing fundamentals, RFML, LLMs (fine-tuning, prompt engineering), and adversarial ML techniques is preferred.
• Experience creating and deploying containerized AI models (Docker/Kubernetes) or working with cloud AI platforms (AWS, Azure, Google) is preferred.

• Full-time roles offering overtime and weekend work opportunities
• Competitive hourly wages plus potential quarterly bonuses
• 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
• Employee discount programs and perks