MLOps Engineer

About the role

Guidehouse is seeking an MLOps Engineer to join our team. This role requires a US Citizenship and an ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. The ideal candidate will have a Bachelor’s degree and 3-5 years of experience in MLOps, ML engineering, data engineering, DevOps, or related technical roles.

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

Requirements

• US Citizenship required
• 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

Qualifications

• 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
• 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
• Masters’ degree in a relevant technical field

Benefits

The annual salary range for this position is $113,000.00-$188,000.00. 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.

Pay

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 and certifications, and other business and organizational needs.

Schedule

Travel required up to 25%