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Hyderabad · On-site · 3-6 Yrs · 5 days ago
Internet & Web Services · 10000+ Employees · Seattle, US
All Amazon teams and businesses, from Prime delivery to AWS, are guided by four key tenets: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that transform the way our customers live their lives and run their businesses.
Hiring: Engineering
What employees say
+ Good compensation, Challenging work, Great tech stack
− Work life balance, middle management, Pushing AI down SDE's throat, not transparent management
More reviews on the company profile.
Interview experience · Application Engineer
4 to 5 Rounds, Initial phone screening will be done over phone. Then followed by 2 technical rounds, which have tech questions and coding problems to solve. some times bar raiser round. Then HM round followed by HR round
Difficult difficulty · India · 10,943 reports
More interview insightsJob description
Overview
The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops.
Responsibilities
- Using live package and truck signals to adjust truck capacities in real-time
- HOTW models for Last Mile Channel Allocation
- Using LLMs to automate analytical processes and insight generation
- Ops research to optimize middle mile truck routes
- Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings
- Deep Learning models to synthesize attributes of addresses
- Abuse detection models to reduce network losses
- Design, develop, and maintain scalable data pipelines to support AI/ML model development and production deployment.
- Implement and maintain CI/CD pipelines for the data and AI/ML solutions.
- Collaborate with data scientists and other team members to understand data requirements and implement efficient data processing solutions.
- Create and manage data warehouses and data lakes, ensuring proper data governance and security measures are in place.
- Collaborate with product managers and business stakeholders to understand data needs and translate them into technical requirements.
- Stay current with emerging technologies and best practices in data engineering, and propose innovative solutions to improve data infrastructure and processes for AI/ML models and analytics applications.
- Participate in code reviews and contribute to the development of best practices for data engineering within the team.
Qualifications
- Experience with data modeling, warehousing and building ETL pipelines
- 3+ years of data engineering experience
- Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go
- Knowledge of cloud services such as AWS or equivalent
- Experience with version control systems and CI/CD pipeline implementation
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience with big data technologies
- Experience with training and deploying AI/ML systems to solve large-scale optimizations
- Experience working with data analytics
- Experience with big data technologies
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Job application FAQ
Last updated 31 October 2026
- How do I apply for Data Engineer - AI/ML Products, AOP (Analytics Operations and Programs) at Amazon?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Amazon may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer - AI/ML Products, AOP (Analytics Operations and Programs) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer - AI/ML Products, AOP (Analytics Operations and Programs) remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Data Engineer - AI/ML Products, AOP (Analytics Operations and Programs) role at Amazon?
- This is a mid-level Data Engineer - AI/ML Products, AOP (Analytics Operations and Programs) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.