MLOps Engineer — Secure Production ML Pipelines

NLP PEOPLE; United States; On-site; USD 85,000 - 120,000; Full time

Job summary

NLP PEOPLE is looking for candidates who can join the Applied Research Laboratory for Intelligence & Security (ARLIS) to design, maintain, and operationalize machine learning pipelines in secure environments. This position requires a Bachelor's degree and relevant experience in software engineering or data engineering.

The ideal candidate will collaborate with researchers and industry partners while adhering to best practices in machine learning security and deployment.

Qualifications

• 3–6 years of experience in software engineering, data engineering, or MLOps.
• Understanding of software engineering best practices is required.
• Must be able to obtain a U.S. security clearance.

Responsibilities

• Design and maintain scalable ML pipelines for training and deployment.
• Operationalize ML models in production-grade environments.
• Implement CI/CD workflows for ML systems.

Skills

Machine Learning frameworks (PyTorch, TensorFlow)

Data Engineering

Python

Containerization (Docker)

CI/CD practices

Cloud platforms (AWS, Azure, GCP)

Education

Bachelor’s degree in Computer Science, Engineering, or Data Science

Tools

Kubernetes

Airflow

Kubeflow

Job description

NLP PEOPLE is looking for candidates who can join the Applied Research Laboratory for Intelligence & Security (ARLIS) to design, maintain, and operationalize machine learning pipelines in secure environments. This position requires a Bachelor's degree and relevant experience in software engineering or data engineering.

The ideal candidate will collaborate with researchers and industry partners while adhering to best practices in machine learning security and deployment.