MLOps Engineer

Job Family : Data Science & Analysis Travel Required : Up to 25% Clearance Required : Active Secret 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: 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 What You Will Need: 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 What Would Be Great to Have: 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 The 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, certifications, and other business and organizational needs. 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 Equal Opportunity Employer Statement: 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. #J-18808-Ljbffr