AI Digital Systems Engineer
Modern Technology Solutions, Inc.
Beavercreek, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Beavercreek, United States of America
Tech stack
Java
Artificial Intelligence
Amazon Web Services (AWS)
Systems Engineering
Azure
C++
Cloud Computing
Computer Programming
Continuous Integration
Information Engineering
Data Governance
ETL
DevOps
Digital Technology
Distributed Systems
Python
Machine Learning
Software Engineering
Systems Integration
Unstructured Data
Web Platforms
Data Ingestion
Model Validation
Containerization
Information Technology
Performance Monitor
Data Pipelines
Job description
- Design and develop AI-enabled digital systems, including data pipelines, machine learning models, and software integrations.
- Architect and implement end-to-end AI solutions, from data ingestion and preprocessing to model deployment and monitoring.
- Integrate AI capabilities into existing digital platforms, simulation environments, and enterprise systems.
- Collaborate with systems engineers, software developers, data scientists, and domain experts to translate operational needs into AI-driven solutions.
- Develop and maintain digital architectures that support scalable AI and analytics capabilities.
- Evaluate emerging AI technologies, tools, and frameworks to improve system performance and innovation.
- Implement model validation, testing, and performance monitoring to ensure reliability and accuracy.
- Support DevOps practices, including automated pipelines, containerization, and continuous integration.
- Document system architectures, design decisions, and engineering processes.
- Ensure solutions align with security, data governance, and regulatory requirements.
Requirements
The ideal candidate combines systems engineering discipline with strong AI and software development skills, and is comfortable working across the full lifecycle from concept and architecture through deployment and operational support., * Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, Electrical Engineering, or related field.
- 3+ years of experience in software engineering, AI/ML development, or digital systems engineering.
- Strong programming skills in Python, Java, C++, or similar languages.
- Experience developing or integrating machine learning models.
- Familiarity with data engineering concepts including data pipelines, ETL processes, and structured/unstructured data.
- Experience with cloud or distributed computing environments (AWS, Azure, or similar).
- Knowledge of software development lifecycle and systems engineering practices.
- Strong analytical, problem-solving, and communication skills.
