TS/SCI AI Engineer - ML/NLP for Defense Systems

CyberTrend Engineering LLC; Maryland; Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical (base plan)

Dental

Vision

Disability Insurance

Life Insurance

Employee Assistance Program (EAP)

SEP-IRA

Educational assistance

Training assistance

Paid time off

Job summary

CyberTrend Engineering LLC is seeking an AI/ML Engineer to design, train, and productize advanced language models, with a focus on NLP and multilingual capabilities. The role involves end‑to‑end model lifecycle management and collaboration with software and data teams.

The ideal candidate will have strong programming skills (Python, Java, C/C++) and experience with ML platforms, data governance, and scalable deployment. Telework is possible up to 16 hours weekly.

Qualifications

• Requires B.S. in advanced math (calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university.
• Two years of applied ML experience in programs/contracts of similar scope, etc. (per ad).
• Experience with ML libraries, DL containers, GPU tech, and optimization/tuning is expected.

Responsibilities

• Build, train, and fine‑tune language models.
• Deploy models and scale on cloud platforms (AWS SageMaker).
• Collaborate with cross‑functional teams and data scientists.
• Maintain and improve model pipelines and deployment processes.
• Document workflows, model design, and technical specs.
• Lead geographically diverse ML teams when required.

Skills

Statistical analysis

ML algorithms

Model evaluation

Communication

Problem solving

Leadership

Education

B.S. in advanced math or CS or related STEM

Tools

AWS SageMaker

TensorFlow

PyTorch

Hugging Face

Kubernetes

MLFlow

Git

Job description

CyberTrend Engineering LLC is seeking an AI/ML Engineer to design, train, and productize advanced language models, with a focus on NLP and multilingual capabilities. The role involves end‑to‑end model lifecycle management and collaboration with software and data teams.

The ideal candidate will have strong programming skills (Python, Java, C/C++) and experience with ML platforms, data governance, and scalable deployment. Telework is possible up to 16 hours weekly.