Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create and optimise SOPs using AI tools, automate processes, and develop analytical workflows.
- Company: Join Amazon, a global leader in e-commerce and cloud computing, dedicated to customer satisfaction.
- Benefits: Enjoy a full-time role with regular hours and opportunities for professional growth.
- Why this job: Be part of an innovative team using GenAI to enhance productivity and customer experience.
- Qualifications: Bachelor's degree required; proficiency in Excel, basic SQL and Python skills preferred.
- Other info: Inclusive culture that supports diverse backgrounds and offers workplace accommodations.
The predicted salary is between 36000 - 60000 £ per year.
Job ID: 3024749 | ADCI – BLR – DTA – I99
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)
BASIC QUALIFICATIONS
• 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
PREFERRED QUALIFICATIONS
• 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr
Machine Learning Data Associate II, North America Customer Fulfillment (NACF) employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Data Associate II, North America Customer Fulfillment (NACF)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially those related to process automation. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of machine learning and data analysis. Attend relevant webinars or local meetups to connect with others who may have insights into the hiring process at Amazon or similar companies.
✨Tip Number 3
Brush up on your SQL and Python skills by working on small projects or contributing to open-source initiatives. Being able to demonstrate your technical abilities can set you apart from other candidates.
✨Tip Number 4
Prepare for behavioural interview questions by reflecting on your past experiences. Think about specific examples where you've successfully documented processes or implemented automation, as these will be crucial in showcasing your fit for the role.
We think you need these skills to ace Machine Learning Data Associate II, North America Customer Fulfillment (NACF)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in process documentation and automation. Emphasise your proficiency in SQL and Python, as well as any experience with AI/ML tools.
Craft a Strong Cover Letter: Write a cover letter that showcases your understanding of the role and how your skills align with the responsibilities. Mention specific examples of past experiences where you successfully implemented process improvements or automation.
Highlight Communication Skills: Since strong verbal and written communication skills are essential for this role, provide examples in your application that demonstrate your ability to communicate complex ideas clearly and effectively.
Showcase Problem-Solving Abilities: In your application, include instances where you've tackled challenges or optimised processes. This will illustrate your analytical and problem-solving skills, which are crucial for the Machine Learning Data Associate position.
How to prepare for a job interview at Amazon
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Machine Learning Data Associate II. Familiarise yourself with the key tasks such as creating SOPs, collaborating with SMEs, and implementing process automation. This will help you answer questions confidently and demonstrate your interest in the position.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL and Python, as well as your experience with AI/ML tools. Bring examples of past projects where you've used these skills, especially in process documentation or automation, to illustrate your capabilities.
✨Communicate Clearly
Strong verbal and written communication skills are essential for this role. Practice articulating your thoughts clearly and concisely. You might be asked to explain complex concepts, so being able to communicate effectively will set you apart from other candidates.
✨Prepare Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful questions about the team dynamics, the tools they use, or the company's approach to automation. This shows your enthusiasm for the role and helps you assess if it's the right fit for you.
