MLOps Engineer: Secure, Scalable ML Pipelines

University of Maryland; College Park (MD); On-site; USD 150,000 - 225,000; Full time

Job summary

The University of Maryland is hiring a mid-level MLOps Engineer for the Applied Research Laboratory for Intelligence & Security (ARLIS). This role involves supporting the deployment and operationalization of machine learning systems to address national security challenges.

Key responsibilities include maintaining scalable ML pipelines and ensuring best practices for model deployment. Candidates should possess a Bachelor's degree in relevant fields and 3–6 years of experience in the software or MLOps domain.

The position offers a competitive salary range of $150,000 - $225,000, based in College Park, Maryland.

Qualifications

• 3–6 years of experience in software engineering, data engineering, or MLOps.
• Experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud platforms like AWS, Azure, or GCP.

Responsibilities

• Design, build, and maintain scalable ML pipelines.
• Operationalize machine learning models in secure environments.
• Implement CI/CD workflows for ML systems.

Skills

Python

ML frameworks

Containerization (Docker)

Orchestration (Kubernetes)

Data engineering

CI/CD workflows

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Tools

Airflow

Kubeflow

AWS

Azure

GCP

Job description

The University of Maryland is hiring a mid-level MLOps Engineer for the Applied Research Laboratory for Intelligence & Security (ARLIS). This role involves supporting the deployment and operationalization of machine learning systems to address national security challenges.

Key responsibilities include maintaining scalable ML pipelines and ensuring best practices for model deployment. Candidates should possess a Bachelor's degree in relevant fields and 3–6 years of experience in the software or MLOps domain.

The position offers a competitive salary range of $150,000 - $225,000, based in College Park, Maryland.