What are the responsibilities and job description for the Engineering Intern position at Modern Technology Solutions, Inc.?
Overview
Own Your Future!
Modern Technology Solutions, Inc. (MTSI) is seeking a Engineering Intern in our Beavercreek, OH office.
Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.
For more information about MTSI, please visit www.mtsi-va.com.
Responsibilities
We are currently looking for an Engineering Intern to join our team in Beavercreek, OH.
State of Work/Project Description: The customer is experiencing a data overload crisis. The explosion of data collection platforms from space, air, sea, and ground are producing an exponential increase in raw sensor data available for exploitation. This problem is further exacerbated by the fact that numerous intelligence products are often created from each data collection. These derived products come in numerous formats including large data formats (e.g., video files), smaller geospatial data formats (e.g., shapefiles), simple data formats (e.g., CSV files), and human reports (e.g., Microsoft Word documents). There is a large amount of data products that need to be effectively discovered and shared across the customer to produce the best actionable intelligence for our warfighters and decision makers. The challenge is how to store and find these various data elements in an efficient and effective manner.
Connecting Data for Intelligence Discovery (CaNDID), an Internal Research and Development (IRAD), project conducts a comprehensive evaluation of several key technologies and implements a prototype to demonstrate an optimal solution to address this significant data problem.
Under CaNDID, the intern will investigate the optimal integration of the following key technologies: Graph databases (ArangoDB, Anzo, and MarkLogic), Artificial Intelligence and Machine Learning (AI/ML), and ontology-based data processing. Together, these technologies when properly integrated can result in a substantial advancement in how we store, manage, process, and discover critical intelligence data and products.
Location and Duration:
The Principal Investigator (PI) is seeking a motivated intern with a passion for ontologies, databases, and machine learning position in our Beavercreek, OH office. As an intern, you’ll collaborate with our data science and engineering teams to develop and enhance our data-driven projects. This internship provides a valuable opportunity to gain hands-on experience with cutting-edge technologies and contribute to impactful projects. Your contribution to the project will begin in May 2025 and conclude in August 2025.
Responsibilities:
- Assist in developing and implementing ontology-based data models to improve data integration and interoperability.
- Work with relational and non-relational databases to manage and optimize data storage, retrieval, and analysis.
- Support the machine learning team by preparing datasets, training models, and analyzing performance metrics.
- Contribute to ongoing research and documentation on best practices in data structuring and model deployment.
Qualifications
Qualifications:
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
- Foundational understanding of ontologies, databases, and machine learning concepts.
- Strong analytical skills with a detail-oriented approach to problem-solving.
- Linux experience is desired.
Required Skills:
- Database Management: Basic proficiency in SQL and familiarity with NoSQL databases.
- Programming: Experience with Python or R for data manipulation and analysis.
- Machine Learning: Introductory knowledge of machine learning concepts and libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch).
- Data Modeling: Understanding of data structures and ontologies for organizing information.
- Collaboration: Ability to work well in a team environment and communicate effectively.
Desired Skills:
- Ontology Development: Familiarity with ontology languages (e.g., OWL, RDF) and tools (e.g., Protégé).
- Database Optimization: Knowledge of indexing, query optimization, and database normalization.
- Advanced Machine Learning: Hands-on experience with machine learning workflows, including model evaluation and tuning.
- Cloud Services: Experience with cloud platforms (e.g., AWS, Azure) for database and ML model deployment.
- Data Visualization: Skills in data visualization tools or libraries (e.g., Tableau, Matplotlib).
This is a fantastic opportunity to gain experience in a multidisciplinary role at the intersection of data management and artificial intelligence. If you’re eager to learn and contribute to a dynamic team, we encourage you to apply!
Clearance: Ability to obtain/maintain a US government security clearance.
Please note: US Citizenship is needed for most positions.
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