Sr. AI Process Engineer

Responsibilities

• Design and implement scalable AI/ML solutions for Compliance use cases
• Lead the development of efficient ML models and end-to-end data processing pipelines
• Build robust, production-grade AI services using Python and modern ML frameworks
• Make and document sound architectural decisions to ensure systems are scalable, secure, and cost-effective
• Partner with data scientists, product managers, and operations teams to deliver end-to-end solutions
• Lead code reviews, enforce best practices, and mentor junior and mid-level engineers
• Implement and evolve ML Ops practices, including CI/CD for models, feature stores, and monitoring workflows

Requirements

• Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, or similar)
• Demonstrated experience designing, implementing, and operating production AI systems at scale
• Hands-on experience with cloud platforms (preferably AWS) and associated ML services

Preferred Qualifications

• Master’s degree in Computer Science, Machine Learning, or a related field
• Experience with NLP, deep learning, or document understanding applications
• Experience working with Compliance, risk management, or other highly regulated systems
• Proven track record of leading technical teams or initiatives and mentoring engineers
• Hands-on experience with ML Ops, including model deployment, monitoring, and lifecycle management

About the Company

Amazon is a global leader in technology and e-commerce, dedicated to being Earth's most customer-centric company. Our inclusive culture empowers Amazonians to deliver the best results for customers worldwide through innovation and technical excellence.