Production AI/ML Engineer for Mission-Critical Analytics

Socket.dev; Springfield (VA); On-site; USD 78,000 - 176,000; Full time

Job summary

Socket.dev is seeking an AI Model Engineer to advance production-ready AI/ML capabilities, operationalizing models within secure environments and production workflows. You will collaborate across data scientists and engineers to translate analytical needs into scalable solutions.

The role emphasizes model lifecycle management, monitoring, and performance optimization, with travel up to 25% and a TS/SCI clearance requirement. Strong programming in Python and ML frameworks is essential.

Qualifications

• 5+ years of experience in AI/ML engineering, data science, or software engineering.
• 3+ years of experience developing, training, and deploying ML models into production environments.
• Experience building, training, and deploying AI/ML models within secure environments.

Responsibilities

• Develop, refine, and deploy AI/ML models into operational environments.
• Integrate models into analytical workflows to enhance mission efficiency and effectiveness.
• Collaborate with data scientists, engineers, and mission stakeholders to translate analytical needs into scalable technical solutions.
• Establish best practices for model lifecycle management, monitoring, and performance optimization.
• Ensure model reliability, reproducibility, and compliance with applicable security and technical standards.
• Support ongoing modernization initiatives by evaluating emerging technologies and tools.

Skills

Python

PyTorch

TensorFlow

MLOps

Data engineering

Communication

Travel allowed

TS/SCI clearance

Education

Bachelor’s degree in CS, Data Science, AI, Electrical Engineering, or Applied Mathematics

Job description

Socket.dev is seeking an AI Model Engineer to advance production-ready AI/ML capabilities, operationalizing models within secure environments and production workflows. You will collaborate across data scientists and engineers to translate analytical needs into scalable solutions.

The role emphasizes model lifecycle management, monitoring, and performance optimization, with travel up to 25% and a TS/SCI clearance requirement. Strong programming in Python and ML frameworks is essential.