Senior AI/ML Engineer

CACI • Aurora, CO

2d

About The Position

The Senior AI/ML Engineer will work on challenging research and development problems, supporting the prototyping and development of AI/ML algorithms across disciplines such as object detection and classification, natural language processing, time-series prediction and classification, reinforcement learning, and large language models. The role works as part of a small interdisciplinary team and involves analyzing large, multi-domain datasets, applying current research, documenting technical work, and supporting team development. The position is contingent on funding and may not be filled immediately; applicants may also be considered for other CACI positions.

Requirements

• Bachelor’s degree in machine learning, computer science, mathematics, or a related field.
• At least 5 years of AI/ML development experience.
• Proficiency with Python and machine-learning libraries such as PyTorch, Lightning, OpenCV, NumPy, and Polars.
• Experience with supervised and unsupervised learning.
• Experience with deep-learning architectures.
• Experience contributing to a team using version control, such as git, GitLab, or Bitbucket.
• Willingness to obtain and maintain an active TS/SCI U.S. Government Security Clearance; clearance must be granted before the start date.

Nice To Haves

• Master’s or Ph.D. in a relevant technical field.
• Active TS/SCI U.S. Government Security Clearance.
• Experience leading interdisciplinary teams.
• Experience with LLMs, Transformers, YOLO, GANs, and reinforcement learning.
• Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, and OpenCV.
• Linux and AWS experience.
• Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, and CuDF.
• Experience in application deployment, virtualization, and containerization, such as Podman, Docker, Kubernetes, or Rancher.
• Familiarity with AWS cloud computing resources such as EC2, S3, and Lambda.

Responsibilities

• Implement machine learning algorithms as part of a small interdisciplinary team.
• Analyze large multi-domain datasets, including images, text, time-series, and graph data.
• Review and apply cutting-edge research publications.
• Create technical documentation and user guides.
• Understand training and deployment pipelines, including AWS services.
• Provide training and mentoring to team members.

Benefits

• Flexible time off benefit.
• Learning resources and learning and development opportunities.
• Healthcare, wellness, financial, retirement, family support, continuing education, and time-off benefits.
• Competitive compensation and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior