Artificial Intelligence / /Machine Learning Software Engineer

Henpen Corporation; Sarasota (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Henpen Corporation is seeking an AI/ML Software Engineer to join their team in Sarasota, FL. This role involves designing and implementing AI/ML solutions for decision-making and SIGINT processing. The right candidate will have a solid background in AI/ML applications, a BS degree in a related field, and at least one year of hands-on experience. Strong knowledge of tools like TensorFlow and PyTorch is required. Full relocation support and excellent benefits are offered.

Benefits

Full relocation support

Industry best benefits

Stock options

Qualifications

• BS degree or higher in Computer Science, Electrical Engineering, or related field.
• Minimum 1 year of hands-on experience in AI or ML (3-5 years preferred).
• Strong knowledge of machine learning model development and modern ML libraries.

Responsibilities

• Design and implement AI/ML solutions for decision-making and SIGINT processing.
• Collaborate with team leads to integrate AI/ML capabilities into enterprise architectures.
• Deliver intelligent insights to support Intelligence Community and DOD missions.

Skills

TensorFlow

PyTorch

scikit-learn

statistical analysis

signal analysis

MLOps

Education

BS degree in Computer Science or related field

Job description

AI/ML Software Engineer

Location: Sarasota, FL

Security Clearance: TS/SSBI/SCI

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing.

The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.

Minimum Qualifications:

• BS degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or related field
• Minimum 1-year hands-on experience in AI or ML in a professional environment (3-5 years preferred)
• Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.)
• Solid programming background with experience using statistical and signal analysis libraries
• Experience with neural network architectures including deep learning models
• Understanding of transformer architectures and attention mechanisms
• Strong understanding of MLOps, deployment and processing pipelines, testing/validation
• TS/SCI active clearance required. U.S. Citizenship required

Nice to Have (Not Required):

• Understanding of digital signal processing fundamentals
• Experience with RFML
• Experience with Large Language Models (LLMs) including fine-tuning and prompt engineering
• Knowledge of AI applications for autonomous decision-making and analysis
• Experience with multimodal, agentic systems using RAG, COT, or MARL approaches
• Experience with reinforcement learning, human feedback, and related system learning methods
• Experience creating and deploying containerized AI models with Docker/Kubernetes
• Working with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI)
• Experience with model monitoring, A/B testing, and performance optimization
• Experience with real-time inference systems and low-latency model serving
• Knowledge of adversarial ML and AI security/robustness techniques
• Experience with graph neural networks for network analysis
• Experience in design, deployment, support of AI or ML model for significant real-world applications

Job Duties:

You will be responsible for designing, developing, and implementing AI/ML solutions for decision-making and SIGINT processing needs. This includes working with time-series data, developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.

You will collaborate with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while maintaining accuracy, security, and maintainability. This also involves enabling autonomous decision-making systems, creating adaptive processing systems, and discovering features and inferring system states from data streams.

You will work towards solutions for large-scale sensing systems, delivering intelligent insights to support critical Intelligence Community and Department of Defense missions.

FULL RELOCATION plus Industry best benefits & stock.