AI Engineer

Veterans Encouraged to Apply:

Detroit Defense proudly supports those who have served. We welcome applicants with military experience, including those transitioning to civilian careers. Your leadership, adaptability, and mission-focused mindset are valued here. Detroit Defense is a 3x recipient of the Hire Vets Gold Medallion Award.

Detroit Defense is seeking a motivated AI Engineer to help design and implement intelligent systems that learn from data, make predictions, and simulate complex real-world processes. The ideal candidate has a strong data science foundation and is eager to apply that knowledge to practical AI applications. This role offers an opportunity to work closely with experienced engineers and researchers on projects spanning classification, prediction, and simulation models across a range of domains.

• Design and implement algorithms for classification, prediction, and simulation based on real-world datasets.
• Develop, train, and evaluate models using Python and modern machine learning frameworks.
• Collaborate with engineers and subject matter experts to transform data into actionable insights and AI-driven solutions.
• Contribute to data preparation, feature engineering, and performance analysis.
• Assist with model validation and documentation to ensure accuracy and explainability.
• Participate in collaborative design discussions, code reviews, and prototype development.
• Demonstrate a willingness to learn MLOps practices, including model deployment and monitoring workflows.

• Bachelor’s degree in Data Science, Computer Science, Applied Mathematics, Statistics, or a related field.
• Solid understanding of machine learning fundamentals — including supervised and unsupervised learning, classification, regression, and performance metrics.
• Proficiency in Python and familiarity with common ML libraries (e.g., scikit-learn, Num Py, pandas, PyTorch, or Tensor Flow).
• Experience with data analysis and visualization tools such as Jupyter, Matplotlib, or seaborn.
• Strong problem-solving and analytical skills, with the ability to interpret results and communicate findings clearly.
• Curiosity and initiative to explore new modeling approaches and technologies.
• Preferred Qualifications:
• Project or internship experience applying AI or data science to a real-world problem.
• Understanding of simulation modeling, time-series forecasting, or predictive maintenance concepts.
• Familiarity with data pipelines or cloud environments is a plus, but not required.
• Exposure to principles of Responsible AI, data ethics, or explainable AI.

• Medical, Dental & Vision Benefits
• Company Paid Life and AD&D
• Company Paid Short Term and Long-Term Disability
• Flexible Spending & HSA Accounts
• Legal & d Services
• 401k with Company Match
• Paid holidays, vacation, and sick days

You’ll be part of a growing AI team focused on developing practical, data-driven solutions with measurable impact. We value curiosity, teamwork, and a hands‑on approach to learning. This is an opportunity to build your skills in applied AI while contributing to projects that span research, prototyping, and early‑stage deployment.

At Detroit Defense, we deliver mission‑critical solutions that enhance national security, protect the warfighter, and enable readiness through innovation, technical excellence, and end‑to‑end lifecycle support.

Remaining steadfast in our core values of Trustworthy, Mission Driven, Creative, and Agile we are a complex systems integrator for the U.S. Government, Detroit Defense provides solutions to meet the technical and programmatic challenges faced by our customers. Our proven success in multi‑domain cross‑platform system‑of‑systems integration results in fielded capability for warfighters. From R&D to production, fielding, and sustainment, Detroit Defense provides services and solutions to empower those that protect us.

Detroit Defense is a proud recipient of the 2022, 2023 & 2024 Hire Vets Gold Medallion Award.

Detroit Defense is an Equal Opportunity/Affirmative Action employer. All qualified applicants will be considered without regard to race, color, religion, national origin, sex (including gender identity or gender expression), age, mental or physical disability, creed, ancestry, citizenship, veteran status, marital status, sexual orientation, medical condition, genetic trait or any other characteristic protected by federal, state or local law.