AmazonPosted 3d ago

Business Intel Engineer, GO-AI

Business Intel Engineer, GO-AI at Amazon scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

IN, TS, Hyderabadmidfull-time

AI in this role

Design and manage data pipelines and metrics for foundation model development in Amazon's robotics AI operations.

pythonsqletl

ai-data-labelingcomputer-visionnlpdata-analysisnatural-language-processingbusiness-intelligence

Amazon Robotics is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges at unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement with state-of-the-art AI. We collaborate with customers across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation.

Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions.
As a Business Intelligence Engineer on GO-AI's Technology & Development Team, you'll work with cross-functional teams (Science, Software, Data, BIE) managing massive-scale, proprietary datasets to develop foundation models that achieve human-level performance on complex real-world tasks. Your work will directly impact millions of daily operations across Amazon's global fulfillment network.

This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale.

Key job responsibilities
• Support leadership decision-making by deep-diving into business hypotheses and anecdotes.
• Design and automate ETL pipelines for business metrics.
• Design insightful dashboards and reports for a senior leadership with a mixture of technical and non-technical backgrounds.
• Research the most appropriate methodologies for a given analytical problem.
• Contribute to key business documents.
• Collaborate with stakeholders to understand business domains, requirements, and expectations.
• Work with owners of data source systems to gain insights into capabilities and limitations.
• Manage the timeline and deliverables of projects, anticipate risks and resolve issues.
• Adopt best practices in reporting: data integrity, test design, validation, and documentation.
• Have knowledge of Generative AI solutions in this space to know when to apply what to solve business problems.
• Excellence verbal and written communication skills.

Basic qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred qualifications

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience working with cross-functional engineering teams developing artificial intelligence, machine learning, and/or robotic solutions

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Data LabelingComputer VisionNlpData AnalysisNatural Language ProcessingBusiness IntelligencePythonSql

Questions you could be asked

How do you keep labeling instructions consistent across a large annotation team?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where natural language processing was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Data Labeling, Computer Vision, Nlp, Data Analysis, and Natural Language Processing. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

Want your resume actually rewritten for this job?

The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.

Get new AI jobs at AI Level 3+ by email

One email a week with the new AI jobs at AI Level 3+, each rated AI Level 1 to 4 for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Also alert me for new jobs at Amazon

Free. One email a week. Unsubscribe in one click.