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Tier 3 MLOps Engineer
Booz Allen Hamilton. Manage Tier 3 incidents . Build and maintain Cloud software and infrastructure supporting machine learning and AI across the program . Work with a collaborative Agile development team . Broaden skills into Agile
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing Tier 3 incidents and building Cloud software and infrastructure for machine learning and AI. Proficient in translating technical concepts for diverse audiences and developing MLOps ecosystems.
Highest-signal resume keywords
Generative AI TechnologiesIncident Management WorkflowMLOps Ecosystem DevelopmentCloud Environment DeploymentActive TS/SCI Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAWSKubernetesIaC ToolsML Lifecycle KnowledgeTest and EvaluationVersion Control ToolsAutomated Data PipelinesPrompt DevelopmentContainerization
Soft Skills
Problem SolvingCollaborationCommunication
Tools & Technologies
HelmTerraformGit
Certifications & Qualifications
Security+ CESSCPCCNA-SecurityGSEC Certification
Industry Keywords
National SecurityIntelligence CommunityAgile DevelopmentOperational TriageEscalation Paths
Tech Stack
Tools & technologiesAWSCloudKubernetesPythonTerraformTypeScript
About the role
Key responsibilities & impact- Manage Tier 3 incidents
- Build and maintain Cloud software and infrastructure supporting machine learning and AI across the program
- Work with a collaborative Agile development team
- Broaden skills into Agile development and Cloud-based development
- Build internal knowledge base articles and escalation paths for operational triage
- Troubleshoot software for national security
- Identify solutions for complex problems
- Help customers meet their toughest challenges
- Build tools to transform the future of the Intelligence Community
Requirements
What you’ll need- 2+ years of experience with generative AI concepts and technologies such as Claude, GPT, and Gemini
- 2+ years of experience working with Tier II and Tier III support and handling the incident management workflow
- 2+ years of experience working with test and evaluation
- Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem
- Ability to translate between technical and non-technical users and developers
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor’s degree and 2+ years of experience working in a system administration operations environment, or 4+ years of experience working in a system administration operations environment in lieu of a degree
- Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC Certification within 6 months of hire date
- Experience with Python, AWS, Kubernetes, and IaC tools such as Helm and Terraform
- Experience developing prompts, tools, and agents with LLMs
- Experience with design and implementation, including building, containerizing, and deploying end-to-end automated data and ML pipelines within a Cloud environment
- Experience with version control tools, including Git
- Security+ CE, SSCP, CCNA-Security, or GSEC Certification is nice to have
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
- TS/SCI clearance is required
Benefits
Comp & perks- Health benefits
- Life insurance
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program for exceptional performance and superior demonstration of company values
- Identity verification process with advanced biometrics and artificial intelligence
- Full-time employees and part-time employees working at least 20 hours a week are eligible for Booz Allen benefit programs