Engineering Intern

Modern Technology Solutions Inc • Beavercreek, OH

10h

About The Position

Modern Technology Solutions. Inc. is currently looking for an Engineering Intern to join our team in Beavercreek, OH. Responsibilities: We are actively seeking a motivated university intern to join our team and contribute to the CaNDID (Connecting Data for Intelligence Discovery) IR&D project. The selected candidate will support various tasks leveraging advanced technologies, including AI/ML, while focusing on the intersection of Model-Based Systems Engineering (MBSE) and database systems such as ArangoDB. The intern supporting the CaNDID IR&D project will collaborate with the development team to enhance functionality through Python-based solutions, while designing and optimizing queries and schema structures within ArangoDB to enable efficient system data integration and retrieval. The candidate will develop and train machine learning models, utilizing artificial intelligence to improve decision-making processes within MBSE workflows, and will contribute to the implementation of digital thread management by applying MBSE principles to integrate multidisciplinary system data. Additionally, responsibilities include working on Extract, Transform, Load (ETL) pipelines for data ingestion into ArangoDB, testing and validating models and queries to ensure optimal performance and reliability in operational environments, and actively participating in team meetings and brainstorming sessions to propose innovative ideas and approaches. The candidate will also be tasked with generating thorough documentation for developed tools, workflows, and key findings to facilitate efficient knowledge transfer and collaboration across the team.

Requirements

• Education: Pursuing a degree in Computer Science, Software Engineering, Data Science, Systems Engineering, or related fields.
• Strong programming proficiency in Python, demonstrated through coursework, projects, or prior internship experience.
• Familiarity with ArangoDB, including knowledge of graph databases and their applications.
• Solid understanding of Machine Learning & Artificial Intelligence practices, including training models, working with datasets, and using Python libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Foundational knowledge or enthusiasm for learning about Model-Based Systems Engineering (MBSE) methodologies and tools.
• Ability to obtain/maintain a US government security clearance.
• US Citizenship is needed for most positions.

Nice To Haves

• Hands-on experience with ArangoDB queries, AQL (ArangoDB Query Language), and graph-based database approaches.
• Experience with digital engineering or modeling languages such as SysML, UML, or BPMN.
• Familiarity with version control tools (e.g., Git) and collaborative coding environments.
• Ability to work both independently and as part of a multidisciplinary team.
• Attention to detail with exceptional problem-solving and analytical skills.

Responsibilities

• Support various tasks leveraging advanced technologies, including AI/ML, while focusing on the intersection of Model-Based Systems Engineering (MBSE) and database systems such as ArangoDB.
• Collaborate with the development team to enhance functionality through Python-based solutions.
• Design and optimize queries and schema structures within ArangoDB to enable efficient system data integration and retrieval.
• Develop and train machine learning models, utilizing artificial intelligence to improve decision-making processes within MBSE workflows.
• Contribute to the implementation of digital thread management by applying MBSE principles to integrate multidisciplinary system data.
• Work on Extract, Transform, Load (ETL) pipelines for data ingestion into ArangoDB.
• Test and validate models and queries to ensure optimal performance and reliability in operational environments.
• Actively participate in team meetings and brainstorming sessions to propose innovative ideas and approaches.
• Generate thorough documentation for developed tools, workflows, and key findings to facilitate efficient knowledge transfer and collaboration across the team.

What This Job Offers

• Career Level: Intern