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At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Leadership and Management
Lead the software engineers, machine learning engineers, and data scientists, fostering a culture of technical excellence, collaboration, and continuous learning.
Define team priorities, allocate resources, manage project timelines, and ensure high-quality, on-time delivery of AI/ML-powered features.
Conduct performance reviews, provide constructive feedback, and support the career development of team members.
Collaborate with product management and cross-functional teams to translate business needs and product requirements into technical specifications and a clear AI/ML roadmap.
Define the technical strategy, architecture, and roadmap for integrating AI and ML capabilities across the Unified Communication product portfolio (e.g., natural language processing for translation, transcription and summarization, predictive analytics, intelligent routing, conversational AI).
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Oversee the entire AI/ML lifecycle, from data collection and model training to MLOps, deployment, monitoring, and performance tuning in production environments.
Ensure the engineering team adheres to best practices in software development, including code review, unit testing, continuous integration/continuous deployment (CI/CD), and secure coding standards.
Drive the selection and implementation of appropriate technologies, frameworks, and cloud services (e.g., AWS, Azure, GCP) to support scalable and robust AI infrastructure.
Partner closely with AI Engineering organization, Research & Developments teams to identify emerging AI technologies, frameworks, platforms and assess their potential for application within the Unified Communications product line.
Work with Data Governance and Legal teams to ensure compliance with data privacy regulations and ethical AI principles
Communicate complex technical concepts and project status effectively to executive leadership and non-technical stakeholders.
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.
Global leader in mission-critical communications and security technology.
Visit company websiteJobs and hiring trendsFull-time
Senior · 10+ years experience
Onsite
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