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.
We are seeking an experienced AI Engineer to take a key role in the development and optimization of our core AI-powered data processing service. This system leverages a Large Language Model (LLM) to parse, normalize, and structure data from highly varied sources into a consistent, pre-defined schema.
You will be responsible for the entire lifecycle of the model at the heart of this system—from training and fine-tuning to deployment and ongoing performance enhancement. You will work closely with our existing software team to ensure seamless integration and maintain the high performance and accuracy our clients depend on.
Key Responsibilities
Model Training & Optimization: Fine-tune and train LLMs using our extensive datasets of input and existing output data to continually improve accuracy, speed, and cost-efficiency.
System Enhancement: Design and implement improvements to the existing API service, focusing on performance, scalability, and reliability.
Lifecycle Management: Manage the end-to-end lifecycle of the AI models, including data preprocessing, training, evaluation, deployment, and monitoring.
Deployment: Work with models deployed in various environments, including self-hosted Docker containers and cloud-based services like AWS Bedrock or Azure OpenAI.
Collaboration: Collaborate with software engineers to ensure the AI components are seamlessly integrated into our microservices architecture and meet the required service-level objectives.
Maintenance & Support: Troubleshoot and resolve issues related to model performance, data parsing accuracy, and the API's operational health.
A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
A minimum of 5 years of professional experience in software development.
A minimum of 3 years of hands-on commercial experience in an AI/ML engineering role.
Proven experience training and fine-tuning Large Language Models (LLMs) for specific Natural Language Processing (NLP) tasks, such as data extraction, classification, and normalization.
Strong proficiency in Python and common AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
Experience deploying machine learning models into production environments.
Practical experience with containerization technologies, specifically Docker.
Solid understanding of API design and development (e.g., REST).
Advantageous Skills (Bonus Points)
Experience with cloud platforms, especially Azure or AWS (Bedrock).
Hands-on experience with container orchestration using Kubernetes.
A strong understanding of microservice architecture principles.
Familiarity with MLOps tools and best practices.
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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.
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