Senior MLOps Engineer
At a glance
Senior ML Platform & Ops role at Ignite IT. Suitland · no salary stated · we estimate $180,000–$245,000 across the United States.
Ignite IT has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Keep software and data pipelines and CI/CD processes running with Government-approved tools
- Record code, model identifiers, prompts, settings, data inputs and evaluation evidence so teams can recreate results and releases
- Automate builds, tests, packaging and deployments, adding validation evidence and approval steps
- Track processing health, errors, speed, volume and resource use against metrics set by data science and evaluation teams
- Resolve production incidents, document causes and workarounds, and confirm recovery with AI/ML engineers and Government staff
What you bring
- A computer science, engineering or IT degree, a related qualification, or equivalent relevant work
- At least eight years in DevOps, cloud, software or data engineering, including three years running ML systems or automated data platforms
- Strong AWS and Linux experience, Python or shell skills, and working knowledge of cloud access, storage and monitoring
- Experience with Git, CI/CD, automated testing, environment setup, dependency management, and dependable deployment and rollback
- Experience tracking ML artifacts or experiments, diagnosing production problems, and writing clear operational documentation
Who this fits
This senior role suits an engineer who can coordinate across engineering and Government teams and maintain operational records for handoffs. The position is onsite in Suitland and depends on a contract award. You must qualify for and maintain Census Special Sworn Status and PIV credentials, follow confidentiality rules, and work during Census core hours and scheduled critical processing runs.
From the employer
Ignite IT Hub is seeking a senior MLOps Engineer to support reliable operation and controlled improvement of the U.S. Census Bureau's AWS-based LLM Autocoder. You will maintain software and data pipelines, automate testing and releases, and help resolve production issues. Working with AI/ML engineers and evaluators, you will make approved changes reproducible, observable, and recoverable across the American Community Survey (ACS) and related applications.
Responsibilities
• Maintain and improve software and data pipelines and continuous integration and delivery (CI/CD) workflows using Government-approved tools.
• Version and trace code, model identifiers, prompts, configurations, data dependencies, and evaluation artifacts so results and releases can be reproduced.
• Automate build, test, packaging, and deployment steps; integrate required validation evidence and approval checkpoints into release workflows.
• Monitor processing health, failures, latency, throughput, and resource use; connect model-performance monitoring with metrics defined by the data science and evaluation team.
• Diagnose production incidents and pipeline failures, document workarounds and root causes, and verify recovery with the AI/ML Engineer and Government staff.
• Prepare release and rollback procedures, integrate Government-approved changes, and verify system behavior after deployment.
• Apply access, secrets, logging, and sensitive-data handling controls; maintain runbooks, configuration records, and operational knowledge for cross-training and transition
Requirements
Required qualifications
• Bachelor's degree in computer science, engineering, information technology, or a related field, or equivalent relevant professional experience.
• 8+ years in DevOps, cloud, software, or data engineering, including 3+ years operating ML systems or automated data-processing platforms.
• Strong AWS and Linux experience, with Python or shell scripting and practical knowledge of cloud identity, access controls, storage, and monitoring.
• Experience with Git, CI/CD, automated testing, environment configuration, dependency management, and reliable deployment and rollback practices.
• Experience with ML artifact versioning or experiment tracking, production troubleshooting, and clear operational documentation; ability to coordinate across engineering and Government teams.
Preferred qualifications
• Experience operating LLM inference workflows, batch classification pipelines, or federal systems handling sensitive information.
• Experience with infrastructure as code, containers, and managed AWS AI/ML services; relevant AWS certification.
Conditions of employment. Position contingent on contract award. Must be able to obtain and maintain applicable Census Special Sworn Status and Personal Identity Verification (PIV) credentials, follow confidentiality requirements, and support Census core business hours and coordinated critical processing runs.
Benefits
Benefits
- 401(k)
- 401(k) matching
- Dental insurance
- Flexible spending account
- Health insurance
- Life insurance
- Paid time off
- Professional development assistance
- Referral program
- Tuition reimbursement
- Vision insurance