AI Engineer
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Job Description
AI Engineer developing core AI-powered data processing services at Motorola Solutions. Managing the lifecycle of AI models to optimize performance and support public safety applications.
Responsibilities:
- Fine-tune and train LLMs using our extensive datasets of input and existing output data to continually improve accuracy, speed, and cost-efficiency.
- Design and implement improvements to the existing API service, focusing on performance, scalability, and reliability.
- Manage the end-to-end lifecycle of the AI models, including data preprocessing, training, evaluation, deployment, and monitoring.
- Work with models deployed in various environments, including self-hosted Docker containers and cloud-based services like AWS Bedrock or Azure OpenAI.
- Collaborate with software engineers to ensure the AI components are seamlessly integrated into our microservices architecture and meet the required service-level objectives.
- Troubleshoot and resolve issues related to model performance, data parsing accuracy, and the API's operational health.
Requirements:
- 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).
Benefits:
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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