PR025-066- AI/ML ENGINEER

QTEC Aerospace•Colorado Springs, CO

2d•$80,000 - $166,000•Onsite

About The Position

QTEC Aerospace is seeking an ARTIFICATL INTELLIGENCE (AI)/MACHINE LEARNING (ML) ENGINEER to join our team of professionals at Schriever Space Force Base in Colorado Springs, CO. The successful candidate will become part of a team of professionals representing both industry and government in support of a Missile Defense System (MDS) with a mission of protecting the United States and our allies. The successful candidate will be detail oriented, have a proven track record and a positive work ethic. Job Summary QTEC Aerospace is looking for highly capable and motivated individuals. The successful candidate will function as an integral member of a multi-contractor team providing program, engineering, and technical support to Missile Defense programs. The chosen candidate will be responsible for supporting development of AI/ML products directly feeding the AI/ML strategy, communicating AI/ML concepts and results to both technical and non-technical audiences, and collaborating with cross-functional teams to deliver innovative AI-powered solutions

Requirements

Must be able to support an in-person / closed-area work environment
Possess a fundamental understanding of AI/ML principles and experience supporting AI/ML projects from conception to deployment
Must be able to work with little direct supervision, work as an integral member of a product delivery team, and meet time critical delivery schedules
Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning
Experience with programming in Python, R, or other relevant languages
Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras
Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development.
Familiarity with Linux operating systems
Strong problem-solving and analytical skills
Must be able to work effectively in a dynamic and collaborative team environment
Ability for some limited travel (less than 10% time) to support program meetings
Excellent verbal and written communication skills, including ability to collaborate with cross-functional teams, and prepare and brief presentations to the customer as needed
Self-starter with ability to work both independently and in a team environment
Candidates must currently have and be able to maintain a minimum DoD SECRET level security clearance.

Nice To Haves

Experience in Engineering and Aerospace
Familiarity with MLOps and deploying models at scale
Familiarity with A/B testing and other methods for evaluating the performance of AI/ML models
Familiarity with cloud computing platforms such as AWS, Azure, or GCP
Familiarity with DevOps practices and tools
Experience working with sensitive data and adhering to data privacy regulations
Experience in Modeling and Simulation
Knowledge of the flight characteristics, motion, atmospheric dynamics, and performance of missiles
Knowledge of engineering modeling principles behind body motion, trajectory analysis, counter measures, debris, and signature modeling
Background with missile system models, atmospheric dynamics, and performance
Experience in Agile software development methodologies including Scrum and Kanban

Responsibilities

Support the full lifecycle of AI/ML projects, from problem definition and data collection to model development, deployment, and monitoring
Support design, development, and implementation of AI/ML models and algorithms using appropriate tools and techniques
Ensure the quality and accuracy of AI/ML models through rigorous testing and validation
Support collaboration with software engineers and DevOps teams to deploy AI/ML models into production environments
Support the AI/ML lead in monitoring the performance of AI/ML models in production and support the AI/ML lead identify areas for improvement
Communicate AI/ML concepts and results effectively to both technical and non-technical audiences
Work in close coordination with multiple teams that will leverage AI/ML products
Work with AI/ML Lead to define problem statements and success metrics for AI/ML products