AI/ML Engineer Internship

Annapolis, MD
Temporary
Student (College)
Bowler Pons Solutions Consultants, LLC is looking for a talented AI/ML Engineer intern to expand our engineering capabilities and take a leading role in our AI/ML technology development. Our innovation efforts support clients and industry partners alike in developing agile, responsive, and integrated solutions that help them rapidly mitigate emerging threats. In this role you will be at the core of innovation, with a wide range of responsibilities, including software development, hardware integration, and robotics.
This position is located at our state-of-the-art (established in 2020) headquarters office/lab facility in Annapolis, MD and may require periodic travel to customer locations and/or the application sites hosting our exciting technology development efforts.  Remote work may be authorized on a case-by-case basis, but candidates should plan to be in the office as time allows during the college semester. This position pays $27.50 an hour. 

As a small business, we offer unmatched opportunity to learn, grow, and take ownership of new projects and concepts. We work fast and have big goals and are looking for teammates who thrive in a dynamic and forward-looking environment. 

JOB RESPONSIBILITIES: 

Develop, document, test, debug, integrate, and maintain application software, systems, and hardware solutions as part of a comprehensive threat detection and response suite. 
  • Design, develop, and deploy AI/ML models and algorithms to solve complex business problems.
  • Build and maintain scalable, reliable, and efficient data pipelines for model training and deployment.
  • Evaluate and integrate third-party AI/ML tools and frameworks as needed.
  • Optimize and tune AI/ML models for performance, accuracy, and scalability.
  • Document technical solutions, processes, and best practices to ensure knowledge sharing.
  • Stay updated on emerging AI/ML trends, tools, and technologies.
MINIMUM REQUIRED QUALIFICATIONS: 
  • US citizenship and the ability to obtain a security clearance as needed.
  • This internship is intended primarily for rising seniors; however, motivated candidates in other academic years may also be considered.
  • Can contribute a minimum of 400 hours while employed with Bowler Pons from  August 24th, 2026 to March 13th, 2027. 
  • This internship is open to Maryland residents and to students enrolled in Maryland colleges or universities, regardless of residency. Applicants must meet at least one of these criteria. Must be pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Artificial Intelligence, or Intelligent Information Systems.
  • Experience with one of the following: 
    • Working with object-oriented and procedural programming languages (C#, JavaScript, and/or Python) and frameworks (.NET, Node, or AngularJS) 
    • Working with AI/ML tools and frameworks (e.g. scikit-learn, PyTorch, TensorFlow, SciPy, Octave, MATLAB, etc.) 
    • Strong understanding of machine learning fundamentals, algorithms, deep learning frameworks, and natural language processing (NLP)
  • Hands-on experience developing and deploying software in Linux and Windows environments 
  • Experience with integrating softwareusing APIs, SDKs, or ICDs
  • Knowledge of Objected-Oriented Design Philosophy and ability to identify and isolate software requirements 
  • Experience working successfully as part of an Agile and/or Lean project team  

ADDITIONAL DESIRED QUALIFICATIONS: 
  • Experience working with databases such as SQL 
  • Development and implementation experience with Internet of Things (IoT) and/or Embedded devices
  • Experience with robotics and autonomous systems
  • Familiarity with ROS
  • Fine-Tune training and prompt engineering LLMs for specific tasks.
  • Experience with Raspberry PI, Arduino, and/or similar small-scale computing
  • Experience with AI/ML development on NVDIA GPUs
  • Experience with LUA
  • Networking skills such as DNS, DHCP, Port-Forwarding, and troubleshooting network connection issues
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