Machine Learning Engineer
Job Description & How to Apply Below
Drive AI innovation as a Machine Learning Engineer within Amazon's Data Intelligence team. You'll design scalable AI systems while collaborating with cross-functional teams in a hybrid work environment.
In this senior role, you will architect end-to-end AI pipelines, develop generative AI solutions, and build robust infrastructure for model training and deployment. Your expertise in machine learning and large language models will be crucial as you optimize AI governance frameworks and ensure high-performance systems.
Key Responsibilities:
• Design AI/ML pipelines for optimal performance and reliability
• Build infrastructure for the complete model lifecycle from training to deployment
• Develop generative AI solutions including LLM and AI agents
• Optimize model serving systems for production use
• Implement and maintain AI governance frameworks for compliance
Requirements:
• 3+ years in systems architecture and design
• Proficient in machine learning and LLM fundamentals
• Experience in data mining and natural language processing
• Full software development lifecycle knowledge preferred
• Master’s degree in computer science is a plus
Leverage your skills in AI and machine learning to impact Amazon Customer Service on a global scale.
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