Mid-Level AI​/Machine Learning Software Engineer

We are seeking a Mid-Level AI / Machine Learning Software Engineer to support development of scalable data analysis and machine learning capabilities across large datasets and real‑time data streams. The role focuses on designing, implementing, and optimizing machine learning models and data pipelines using Python and modern deep learning frameworks.

The ideal candidate has strong programming fundamentals, hands‑on model development experience, and is comfortable working with large structured and unstructured datasets in production environments.

• Design, develop, and maintain Python-based data processing and analytics solutions
• Implement and optimize machine learning and deep learning models
• Work with large datasets and streaming data sources
• Develop reusable data structures and efficient algorithms for analysis workflows
• Build and evaluate models for classification, prediction, and pattern recognition
• Integrate AI/ML capabilities into software systems and pipelines
• Collaborate with software engineers, data engineers, and analysts to deploy solutions
• Perform model validation, performance tuning, and debugging
• Document architecture, implementation, and usage of developed tools

• 3+ years of professional software development experience
• Strong Python development skills
• Experience working with large datasets and/or streaming data
• Proficiency in machine learning and deep learning frameworks:
  PyTorch, Tensor Flow, Keras, Hugging Face Transformers
• Understanding of machine learning concepts and model architectures, including Decision Trees / Random Forests, LSTM / sequence models
• Experience implementing, training, and evaluating ML models
• Knowledge of data structures, algorithms, and performance optimization
• Familiarity with version control (Git) and collaborative development workflows

• Experience with Retrieval-Augmented Generation (RAG)
• Experience with Model Context Protocols (MCP) or similar agent/tool interaction frameworks
• Experience with GPU acceleration and CUDA architecture, drivers, runtime, and APIs
• Experience with deep learning and reinforcement learning libraries
  
  Experience building or consuming real‑time data pipelines
• Data visualization and exploratory analysis (Matplotlib, Seaborn, Plotly, etc.)
• Familiarity with model deployment and inference optimization
• Experience working in containerized or distributed environments

• Bachelor's degree (or working toward a degree) in Computer Science, Data Science, Engineering, Mathematics, or related field
• (Equivalent practical experience considered)

• Linux development environments
• Jupyter notebooks
• Docker or container basics
• Basic command line usage

Our co-workers support some of the most important and critical programs to our national defense and security.

Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.

We have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town‑hall meetings three times a year.

• Starting PTO accrual of 20 days PTO/year + 10 holidays/year
• Flexible schedules
• 6% 401k match with immediate vesting up to $9k annually
• Semi-annual bonus eligibility (July and December)
• Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account
• Up to $10,000 in annual educational reimbursement
• Other company funded benefits, like life and disability insurance
• Optional zero deductible Blue Cross/Blue Shield health insurance plan

We have grown every year since our founding in 1993.

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

MTSI embraces nine core values including our first core value of Employees come first. Consistent with our Core Values, we are committed to Equal Opportunity, making decisions without regard to race, color, religion, sex, national origin, age, military/veteran status, disability, or any other characteristics protected by applicable law. MTSI is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants and employees with physical and/or mental disabilities.