AI/ML Engineer

CACIAurora, PA
Hybrid

About The Position

This position is for a Senior AI/ML Engineer looking for new challenging problems. You should have experience working in research teams prototyping and developing AI/ML algorithms. You will support the development of AI/ML algorithms in a multitude of disciplines including object detection/classification, natural language processing, time series prediction/classification, reinforcement learning, and large language models.

Requirements

  • B.S. in machine learning, computer science, mathematics, or related field
  • 5+ years of AI/ML development experience
  • Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars
  • Experience with supervised and unsupervised learning
  • Experience with deep learning architectures
  • Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
  • Willing to be submitted for a TS/SCI U.S. Government Security Clearance

Nice To Haves

  • MS or PhD in relevant technical field
  • Experience leading interdisciplinary teams
  • Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning
  • Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV
  • Linux and AWS experience
  • Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
  • Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Active TS/SCI U.S. Government Security Clearance with recent Polygraph

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
  • robust learning resources
  • competitive compensation
  • competitive benefits
  • learning and development opportunities
  • comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits
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