Senior MLOps Engineer for Defense Drone Systems

Parsons; Maryland; Vor Ort; USD 104.000 - 181.000; Vollzeit

Benefits dieser Stelle

Medical benefits

Dental benefits

Vision benefits

Paid time off

Employee Stock Ownership Plan (ESOP)

401(k)

Life insurance

Flexible work schedules

Holidays

Zusammenfassung

Parsons is seeking a Senior Software Developer to support the Drone Armor counter-UAS program. You will design and implement software across languages, lead component design, and ensure robust, secure solutions aligned with architecture standards.

You will collaborate with data scientists to productionize models, implement end-to-end MLOps, and integrate ML pipelines into CI/CD processes for reliable model deployment and monitoring.

Qualifikationen

• Bachelor’s degree in Computer Science, Electronics Engineering, or other engineering or technical discipline is required with 5 years of experience
• 8 years of relevant software development experience may be substituted for education
• Experience deploying, operating, or supporting machine learning models in production environments (MLOps)
• Strong understanding of software engineering best practices, including design patterns, code reviews, version control, and CI/CD workflows

Aufgaben

• Create software code in multiple languages to support Drone Armor capabilities
• Lead the design and implementation of software components, services, and interfaces
• Ensure solutions are robust, secure, maintainable and aligned with standards
• Design and implement data and model-serving services that integrate ML components

Kenntnisse

Python

C++

Java

C#

Go

CI/CD practices

Ausbildung

Bachelor’s degree in Computer Science, Electronics Engineering, or other engineering or technical discipline

8 years of relevant software development experience may be substituted for education

Tools

Docker

Kubernetes

TensorFlow

PyTorch

ONNX

Jobbeschreibung

Parsons is seeking a Senior Software Developer to support the Drone Armor counter-UAS program. You will design and implement software across languages, lead component design, and ensure robust, secure solutions aligned with architecture standards.

You will collaborate with data scientists to productionize models, implement end-to-end MLOps, and integrate ML pipelines into CI/CD processes for reliable model deployment and monitoring.