AI/ML Ops Engineer

Job Family:

Data Science & Analysis

Travel Required:

None

Clearance Required:

Active Secret

What You Will Do:

• Build, automate, and maintain CI/CD pipelines for artificial intelligence (AI) and machine learning (ML) and software applications.  
• Containerize applications/models and deploy them to cloud environments (e.g., Azure, AWS, etc.).  
• Operationalize ML models: packaging, versioning, testing, deployment, and monitoring.  
• Support data scientists and developers in taking developed code to staging to production.  
• Ensure security integration between DevSecOps pipelines and cloud services and configure monitoring and alerting for applications, pipelines and ML models in production.  
• Design and document technical process flows and diagrams, present them to clients, and answer questions about them.  
• Ensure AI/ML deployments adhere to commercial and public sector guidelines, security practices, policies and standards, delivering responsible use of AI.  
• Collaborate with data scientists and other adjacent roles.
• Provide technical guidance and mentorship to team members. 
• Develop trusted relationships with clients by understanding their mission, challenges, and goals, and delivering tailored solutions that drive innovation in AI/ML and data science.  
• Support business development efforts (e.g., responding to RFPs/RFIs, developing white papers, creating pitch decks and capability briefings, etc.).   
• Support internal firm initiatives.  
• Continue to develop professionally in technical skills, consulting skills, and client domain knowledge.  

What You Will Need:

• An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance
• Bachelor’s degree is required
• THREE (3) years of relevant professional experience.  
• Proficiency in Git and modern branching/versioning workflows. 
• Experience with CI/CD tools (Azure preferred). 
• Experience with ML model containerization and the ability to build and deploy Docker containers and understand container networking and storage. 
• Experience in Azure (or AWS) cloud environment, optimizing compute, networking, and storage. 
• Proficiency in programming in Python, with experience scripting in Bash/PowerShell. 
• Understanding of Agile principles and methodology.  
• Ability to understand client mission and business processes and adapt solutions and approaches accordingly to be successful. 
• Ability to operate independently and collaboratively in small teams.  
• Strong communication and presentation skills for both technical and non-technical audiences.  
• Ability to think strategically and drive innovation.  
• Ability to operate successfully on remote, hybrid, or on-site projects in the DC metro area.  

What Would Be Nice To Have:

• Master's degree
• SIX (6) years of relevant professional experience.  
• Relevant experience supporting Department of State or other Federal Government organizations.  
• Experience with deploying AI/ML models on cloud platforms (e.g., AWS, Azure, GCP) and hybrid cloud deployments, including cloud security (e.g., Managed Identities). 
• Experience deploying ML models in production environments with model versioning and rollback strategies.  
• Understanding of data privacy regulations (e.g., GDPR, HIPAA) as they relate to ML deployments.
• Knowledge of network security, including firewalls, VPNs, and secure communication protocols, and experience with security compliance standards (e.g., NIST, ISO 27001, SOC 2).  
• Exposure to automated testing frameworks for infrastructure and security validation.  
• Experience supporting DevSecOps and integrating security into CI/CD workflows for AI/ML models. 
• Experience with Jenkins for building and automating CI/CD pipelines.  
• Experience utilizing GitHub for version control, branching strategies, and CI/CD pipeline integration.  
• Experience with Docker for containerizing ML models and managing container lifecycles, including building Docker images. 
• Experience working with YAML files.
• Knowledge PowerShell and command-line scripting.  
• Experience managing cloud resources by maintaining and optimizing could environments for reliability, scalability, and cost.  
• Experience in OpenShift for deploying and managing containerized applications in a Kubernetes-based environment.  
• Knowledge of Infrastructure as Code (IaC) and experience with IaC tools such as Terraform and Ansible.  
• Knowledge of Function Apps.  
• Experience working with Virtual Machines and configuring them to be scalable, Azure Blob Storage, working with Desired State Configurations.  
• Familiarity with ML model serving frameworks like MLflow, Seldon, or TensorFlow Serving.  
• Familiarity with Linux-based systems and shell scripting.  
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).  

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

• Parental Leave

• 401(k) Retirement Plan

• Group Term Life and Travel Assistance

• Voluntary Life and AD&D Insurance

• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

• Transit and Parking Commuter Benefits

• Short-Term & Long-Term Disability

• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Care.com annual membership

• Employee Assistance Program

• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

• Position may be eligible for a discretionary variable incentive bonus

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.