ActioNet is looking for an AI/Machine Learning (ML) Engineer to support the development of secure, rapid building, training, evaluation, debugging, and deployment of AI models across real world and theoretical scenarios, and to assess and provide recommendations for survivable Edge Computing solutions that support deployment/employment of AI and ML to the tactical edge.
Requirements
- Experience in applying AI to practical comprehensive technology solutions
- Experience with AI/ML deep learning, Python
- Knowledge of basic algorithms, object-oriented and functional design principles, and AI/ML best-practice patterns
- Experience using AI/ML learning techniques (large language models, clustering, decision tree learning, artificial neural networks, etc.).
- Three or more years of experience in applying AI to practical comprehensive technology solutions.
- Three or more years of experience with AI/ML deep learning, Python
- Knowledge of advanced algorithms, object-oriented and functional design principles, and AI/ML best-practice patterns
Responsibilities
- Conduct data integration.
- Investigate flexible analytics solutions visualization, model building, operational decision-making, and decision capture capabilities.
- Supports the development of secure, rapid building, training, evaluation, debugging, and deployment of AI models across real world and theoretical scenarios.
- Identify portable solutions that can support distributed, vehicle mounted and on-premises use cases.
- Apply industry standards, data strategies and governance, data cataloguing, and DataOps practices for tactical systems.
- Enhance current AI/ML strategies.
- Assess and provide recommendations for survivable Edge Computing solutions that support deployment/employment of AI and ML to the tactical edge.
Other
- Secret clearance
- Bachelor’s degree in Computer Science, Mathematics, Computer Engineering, or related field.
