Senior AI/ML Engineer: Secure, Deployable AI Systems

Defianx; Massachusetts; On-site; USD 120,000 - 180,000; Full time

Job summary

Defianx in Norfolk, United States seeks an AI/ML Engineer to design, build, evaluate, and maintain AI/ML capabilities supporting NATO-related requirements. You will train and test models, build AI-enabled services, and collaborate with data scientists, engineers, and cybersecurity specialists.

Responsibilities include developing pipelines, evaluating model performance, and ensuring secure, responsible AI practices across deployment and lifecycle management.

Qualifications

• Bachelor's or Master's degree in CS/AI/ML or related field.
• 5+ years of software, data, or AI engineering experience with ML/AI development.
• Experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn.
• Understanding of model development, validation, deployment and monitoring.

Responsibilities

• Develop, train, test, and evaluate AI/ML solutions.
• Build and integrate AI-enabled applications and services.
• Support generative AI, NLP, predictive analytics, and related use cases.
• Establish repeatable model-development and evaluation processes.
• Evaluate accuracy, reliability, security, bias, and operability.
• Develop APIs, pipelines, and integration mechanisms.
• Support model deployment, monitoring, and lifecycle management.
• Collaborate with data scientists, engineers, cybersecurity specialists, and users.
• Document assumptions, risks, and performance results.
• Apply responsible and secure AI-engineering principles.

Skills

AI engineering

Machine learning

Software development

Python

Model deployment

Education

Bachelor's or Master's in CS/AI/ML/Data Science/Engineering

Tools

PyTorch

TensorFlow

Scikit-learn

Job description

Defianx in Norfolk, United States seeks an AI/ML Engineer to design, build, evaluate, and maintain AI/ML capabilities supporting NATO-related requirements. You will train and test models, build AI-enabled services, and collaborate with data scientists, engineers, and cybersecurity specialists.

Responsibilities include developing pipelines, evaluating model performance, and ensuring secure, responsible AI practices across deployment and lifecycle management.