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AI Manager – Language Models
Motorola Solutions. Lead the development of large language model-driven machine learning solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in leading the development of large language model-driven machine learning solutions, with a strong focus on the complete machine learning lifecycle and collaboration across technical teams. Proven ability to manage LLM-based solutions and integrate UX guidance into design and training methodologies.
Highest-signal resume keywords
Large Language Model DevelopmentMachine Learning Lifecycle ManagementTechnical Team LeadershipCloud-Based Software EngineeringPublic Safety Applications Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Machine LearningData CurationModel TrainingModel DeploymentModel MonitoringModel EvaluationFeedback IncorporationSoftware DevelopmentQuantitative ScienceEngineering
Soft Skills
Strong Communication Skills
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Public Safety911 Call HandlingDispatchCase ManagementEnterprise ApplicationsUX GuidanceTest PatternsTraining Methodologies
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Lead the development of large language model-driven machine learning solutions
- Work across the complete machine learning lifecycle, including data curation, model training, deployment, monitoring, evaluation, and feedback
- Apply machine learning expertise to public safety applications such as 911 call handling, dispatch, and case management, as well as enterprise applications
- Collaborate with infrastructure engineers and research scientists to build scalable machine learning products
- Create reusable components supporting integration between research teams and production engineering
- Bridge AI research and production engineering to build reliable ML systems
- Guide development and deployment of LLM machine learning solutions
Requirements
What you’ll need- Bachelor's degree with 8+ years of machine learning experience
- 2+ years of direct management experience leading technical teams
- 8+ years of combined experience as a machine learning researcher and/or a post-graduate degree in a quantitative science or engineering
- Previous experience managing an LLM-based solution from inception to market
- Previous experience managing cloud-based software engineering
- Strong written and oral communication skills in English
- Experience developing software for public safety or enterprise is desired
- Experience managing engineers and researchers, and working horizontally with UI/UX and product management is desired
- Experience incorporating UX guidance in LLM-driven design patterns, test patterns and training methodologies is desired
- Knowledge of Machine Learning fundamentals and best practices is desired
Benefits
Comp & perks- Equal Opportunity Employer
- Inclusive and accessible recruiting experience
- Reasonable accommodations during the recruiting process
- No travel required
- No relocation required