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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced expertise in AI/ML engineering, including model development, deployment, and performance tuning. Proficient in Python programming, cloud solutions, and enterprise architecture, with a strong focus on collaboration and innovation in AI-infused applications.
Highest-signal resume keywords
Python ProgrammingAI/ML EngineeringGCP Cloud SolutionsModel DevelopmentEnterprise Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI PlatformsSQLFeature EngineeringModel ValidationPost-Production Model MonitoringDevelopment Lifecycle ManagementDevOps AutomationBenchmarkingQuantizingRouting Workloads
Soft Skills
Strategic ThinkingCollaborationMentoringPresentation SkillsProblem Solving
Tools & Technologies
GitOpen-Source ToolsAPI ConsumptionLocal Agent OrchestratorsAI-Augmented Developer Tooling
Industry Keywords
Network Domain KnowledgeGen AICloud IntegrationsHybrid InfrastructuresMulti-Agent Orchestration
Tech Stack
Tools & technologiesCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Drive development and implementation of AI-infused network use cases and ML solutions
- Provide technical expertise and strategic thinking to advance AI/ML capabilities
- Modernize existing AI applications and build new applications
- Collaborate with Product Management, Data Scientists, and Data Engineers
- Implement, performance-tune, and scale AI/ML applications
- Guide planning, configuration, deployment, and operation of cloud solutions
- Contribute to industrializing data science and AI capabilities across operations
- Lead model development, feature engineering, model validation, deployment, and model observability
- Mentor and guide teams delivering AI/ML solutions
- Participate in internal and external forums promoting innovation and knowledge sharing
- Present AI/ML solution narratives to executives
- Rapidly diagnose issues and build scalable systems using modern developer environments, multi-agent orchestration, and internal model provisioning endpoints
- Prototype agents, diagnose integration hurdles, and deploy fixes using AI-augmented developer tooling
- Build, configure, and audit local agent orchestrators, tool definitions, and developer environments
- Support cloud integrations, service endpoint configurations, and API consumption across GCP and internal hybrid infrastructures
- Investigate, design, test, and implement efficient software solutions
Requirements
What you’ll need- Bachelor’s degree or four or more years of work experience
- Six or more years of relevant experience, demonstrated through work and/or military experience or specialized training
- Experience in Python programming, Git, enterprise systems, open-source tools, and the progression of Gen AI
- Experience in AI platforms, GCP, and SQL
- Enterprise Architecture or platform management experience
- Practical experience benchmarking, quantizing, and routing workloads between API-based frontier models and self-hosted/open-source models
- Understanding of on-prem GPU inference serving alongside GCP cloud services
- Knowledge of Development Lifecycle Management, DevOps Automation methods and practices, Post-Production Model Monitoring, and End-to-End Architecture
- Advanced knowledge of AI/ML engineering concepts and applied practices and methods
- Experience combining multiple data sources to uncover correlations and causations, build models, and create algorithms
- Network domain knowledge
Benefits
Comp & perks- Medical, dental, and vision insurance
- Short- and long-term disability insurance
- Basic life insurance
- Supplemental life insurance
- AD&D insurance
- Identity theft protection
- Pet insurance
- Group home & auto insurance
- Matched 401(k) savings plan
- Up to 8 company paid holidays per year
- Up to 6 personal days per year
- Paid parental leave
- Adoption assistance
- Tuition assistance
- Other incentives
- Potential premium pay such as overtime, shift differential, holiday pay, and allowances
- Up to 15 days of vacation per year for newly hired employees, increasing with additional service
- Hybrid work arrangement with working from home and a minimum of three days per week in the office