MLOps Engineer

Job FamilyData Science & AnalysisTravel RequiredUp to 25%Clearance RequiredActive SecretWhat You Will DoAs 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 IncludeDesign, build, and maintain end‑to‑end MLOps pipelines, supporting model training, testing, deployment, monitoring, and retrainingImplement CI/CD workflows for ML models and data pipelines in secure federal environmentsOperationalize machine learning models built by data science teams and ensure production readinessDevelop and manage model versioning, artifact management, and experiment trackingImplement monitoring solutions for model performance, drift, data quality, and pipeline healthAutomate infrastructure provisioning and deployment using infrastructure‑as‑code and DevOps best practicesSupport auditability, explainability, and governance of AI/ML systemsCollaborate with stakeholders to align MLOps architectures with mission needs and security requirementsWhat You Will NeedUS Citizenship requiredAn 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 rolesStrong experience with Python and ML tooling supporting model packaging, deployment, and monitoringHands‑on experience building CI/CD pipelines for data and ML workloadsExperience with containerization and orchestration (e.g., Docker, Kubernetes, or managed equivalents)Experience working with secure cloud or hybrid environments supporting federal or DoD clientsFamiliarity with ML lifecycle management concepts including versioning, reproducibility, and monitoringAbility to work across technical and non‑technical teams and communicate complex system designs clearlyWhat Would Be Great To HaveExperience supporting the Department of Defense, including work associated with Advana or enterprise analytics platformsBachelor’s degree in computer science, Engineering, Data Science, or a related technical disciplineExperience operationalizing ML solutions that work with federal financial or budgetary dataHands‑on experience with Databricks, including MLflow, Spark, and Delta LakeExperience deploying or maintaining ML workflows in Palantir FoundryFamiliarity with governance, compliance, and risk controls associated with AI in federal environmentsExperience in Azure (including Azure Government) or AWS GovCloudKnowledge of responsible AI, model risk management, or regulated ML environmentsMaster’s degree in a relevant technical fieldThe annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.What We OfferGuidehouse 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 IncludeMedical, Rx, Dental & Vision InsurancePersonal and Family Sick Time & Company Paid HolidaysPosition may be eligible for a discretionary variable incentive bonusParental Leave and Adoption Assistance401(k) Retirement PlanBasic Life & Supplemental LifeHealth Savings Account, Dental/Vision & Dependent Care Flexible Spending AccountsShort-Term & Long-Term DisabilityStudent Loan PayDownTuition Reimbursement, Personal Development & Learning OpportunitiesSkills Development & CertificationsEmployee Referral ProgramCorporate Sponsored Events & Community OutreachEmergency Back-Up Childcare ProgramMobility StipendAbout GuidehouseGuidehouse 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.