Machine Learning Data Associate II, North America Customer Fulfillment (NACF)

Amazon is a global leader in e-commerce and cloud computing, headquartered in Seattle, Washington. Since its inception in 1995, Amazon has strived to be the world's most customer-centric company, catering to a global customer base, which includes not only consumers but also our sellers and vendors (selling partners). Our platform empowers world-class retail brands and individual sellers to increase sales and reach new customers.

The North America Customer Fulfillment (NACF) team is dedicated to effectively network labor planning for optimizing customer experience and enhancing productivity. The successful execution of the network depends on well-defined roles and responsibilities. The AI Ops MLDA (Machine Learning Data Associate) team is dedicated to implementing GenAI solutions to automate and augment tasks across North America Supply Chain (NASC) and Global Services Risk & Compliance (GSRC) teams. The team focuses on expanding use-case portfolios and accelerating the automation lifecycle through internal GenAI products for workflow automation.


Key job responsibilities
• Create and optimize Standard Operating Procedures (SOPs) using AI-powered documentation tools, including
managing process recordings and converting them into detailed written documentation
• Collaborate with Subject Matter Experts (SMEs) to capture and document process knowledge and quality metrics using
generative AI tools, while gathering diverse work samples for comprehensive coverage
• Implement process automation using low-code/no-code AI platforms for setup, execution, and optimization, including
output validation and issue resolution
• Develop and optimize analytical workflows using SQL and Python, leveraging AI assistance, and train team members on
automation best practices
• Work closely with SMEs and cross-functional teams to ensure successful automation deployment and continuous
process improvement
• Full-time position with regular working hours from 11:00 AM to 8:00 PM IST (India Standard Time)• Educational Background: Bachelor's degree in any discipline
• Technical Skills: Proficiency in MS Excel; basic understanding of SQL and Python
• Communication Skills: Strong verbal and written communication skills in English
• 1+ years of relevant work experience in process documentation or automation
• Experience with prompt engineering, AI/ML tools, and process automation
• Strong knowledge of process documentation, analysis knowledge
• Technical proficiency in SQL querying and Python programming for data analysis
• Strong analytical and problem-solving skills
• Ability to work independently and as part of a team


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