AI Engineer - Entry to Expert Level

About This Role

This role involves building, deploying, and maintaining artificial intelligence (AI) systems at scale for mission-critical intelligence collection, processing, and reporting. AI Engineers will combine expertise from data science, software engineering, data engineering, and systems engineering to manage the entire AI lifecycle.

Responsibilities

• Lead or contribute to cross-functional teams to develop and operationalize AI solutions
• Apply modern engineering techniques to design, develop, deploy, and maintain end-to-end AI workflows
• Adapt and integrate diverse AI model architectures including computer vision, natural language processors, and large language models
• Monitor and maintain AI products through systematic identification of performance degradation and computational inefficiency
• Maintain knowledge of current AI research and adapt emerging techniques to intelligence applications
• Test and evaluate AI solutions against mission requirements and produce actionable recommendations

Requirements

• Knowledge of statistics, mathematics, and computer science topics related to data science
• Proficiency in Python or other relevant languages (C++, Java, Scala, TypeScript)
• Experience with deep learning frameworks (PyTorch, TensorFlow, Jax)
• Experience with version control (Git)
• Experience with containerization (Docker, Kubernetes)
• Relevant experience in implementing production scale AI/ML solutions, distributed model training, distributed AI/ML systems, AI/ML performance monitoring, platform engineering, cloud engineering, developing deep learning models, neural networks, sustaining/maintaining AI/ML models, implementing AI/ML algorithms, AI/ML model development and deployment, DevOps, MLOps, cloud infrastructure management, software engineering, automated testing, or containerization.

Qualifications

• Associate's, Bachelor's, Master's, or Doctoral degree in Computer Science, Engineering, Information Systems, Information Technology, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Operations Research, Artificial Intelligence, Data Science, or Physical or Biological Sciences.
• Entry level with an Associate's degree plus 2-3 years, or Bachelor's with 0-1 year, or Master's with no experience. Full Performance to Expert levels require increasing years of relevant experience, up to 11 years with an Associate's degree.

Nice to Have

• Experience serving as an AI Project Team Leader/model owner (for Expert level)

Skills

* Required skills

Benefits