Senior MLOps Engineer — DoD AI Ops & Responsible AI Lead

Analytica; Washington (District of Columbia); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

Employer-paid health care

Training and development funds

401k match

Job summary

A leading consulting and IT solutions provider is seeking a Senior MLOps Engineer in Washington, DC. The role involves designing, developing, and deploying machine learning operations for defense applications, with a focus on systems integration and responsible AI. The ideal candidate should have extensive experience in MLOps, strong expertise in ML frameworks, and familiarity with government compliance. This position offers competitive compensation, bonuses, and benefits including employer-paid health care and training funds.

Qualifications

• 7-10 years experience in MLOps or related systems engineering roles.
• Strong expertise in ML frameworks and containerization.
• Knowledge of government compliance and responsible AI principles.

Responsibilities

• Lead the design and deployment of machine learning operations infrastructure.
• Build scalable infrastructure for processing diverse data types.
• Implement data quality and monitoring frameworks for training datasets.

Skills

MLOps expertise

Systems integration

ML pipeline development

Responsible AI practices

Networking for AI/ML systems

Education

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

Master's degree preferred

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Apache Airflow

Spark

Job description

A leading consulting and IT solutions provider is seeking a Senior MLOps Engineer in Washington, DC. The role involves designing, developing, and deploying machine learning operations for defense applications, with a focus on systems integration and responsible AI. The ideal candidate should have extensive experience in MLOps, strong expertise in ML frameworks, and familiarity with government compliance. This position offers competitive compensation, bonuses, and benefits including employer-paid health care and training funds.