MLOps Engineer
Guidehouse
US - VA, McLean
Full-Time
$113,000
HybridExecutive
Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
What You Will Do:
As an MLOps Engineer, you will design, implement, and support the platforms, pipelines, and operational processes that enable scalable, secure, and reliable deployment of machine learning solutions for federal clients. You will partner closely with data scientists, AI engineers, data engineers, and government stakeholders to operationalize models across development, testing, and production environments.
You will play a critical role in enabling secure AI and ML delivery within DoD and federal financial environments, ensuring models are repeatable, auditable, and compliant with federal standards.
Key responsibilities include:
Design, build, and maintain end‑to‑end MLOps pipelines, supporting model training, testing, deployment, monitoring, and retraining
Implement CI/CD workflows for ML models and data pipelines in secure federal environments
Operationalize machine learning models built by data science teams and ensure production readiness
Develop and manage model versioning, artifact management, and experiment tracking
Implement monitoring solutions for model performance, drift, data quality, and pipeline health
Automate infrastructure provisioning and deployment using infrastructure‑as‑code and DevOps best practices
Support auditability, explainability, and governance of AI/ML systems
Collaborate with stakeholders to align MLOps architectures with mission needs and security requirements
US Citizenship required
An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
Bachelor’s degree obtained.
3–5 years of experience in MLOps, ML engineering, data engineering, DevOps, or related technical roles
Strong experience with Python and ML tooling supporting model packaging, deployment, and monitoring
Hands‑on experience building CI/CD pipelines for data and ML workloads
Experience with containerization and orchestration (e.g., Docker, Kubernetes, or managed equivalents)
Experience working with secure cloud or hybrid environments supporting federal or DoD clients
Familiarity with ML lifecycle management concepts including versioning, reproducibility, and monitoring
Ability to work across technical and non‑technical teams and communicate complex system designs clearly
Experience supporting the Department of Defense, including work associated with Advana or enterprise analytics platforms
Bachelor’s degree in computer science, Engineering, Data Science, or a related technical discipline
Experience operationalizing ML solutions that work with federal financial or budgetary data
Hands‑on experience with Databricks, including MLflow, Spark, and Delta Lake
Experience deploying or maintaining ML workflows in Palantir Foundry
Familiarity with governance, compliance, and risk controls associated with AI in federal environments
Experience in Azure (including Azure Government) or AWS GovCloud
Knowledge of responsible AI, model risk management, or regulated ML environments
Master’s degree in a relevant technical field
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.