The Prime Air team is looking for an experienced Machine Learning Data Analyst who enjoys working on data processing tasks that will work to ensure the continuous functioning of our systems. Insisting on the highest standards is an important part of our day-to-day work as we focus on accuracy of work, metrics, and quality improvement. The selected candidate must be capable of independently delivering high quality work under the given time frames.
We look for someone who is detail-oriented and able to learn and adapt quickly to support the team on meeting our weekly goals. As well as the ability to multitask across several domains and work independently.
Our organization strives to coordinate and balance tasks as per our customer’s current demands, perform basic quality audits, identify root cause for failures and gaps, adapt quickly to changing specifications and work with Process Leads and stakeholders to improve processes.
Key job responsibilities
As a Data Associate some of your responsibilities will be, but not limited to:
• tBe the go-to expert for our ML data team, guiding others on how to collect and label data correctly while managing various projects
• tHelp create high-quality training data for our ML models by carefully reviewing and labeling complex data examples
• tCreate and update clear instructions and guidelines that help our team work consistently and efficiently
• tMonitor and improve the quality of our data by tracking important measurements and finding ways to make our processes better
• tWork closely with engineers, scientists, and project managers to improve how we handle and process data
• tSolve complex problems by finding their root causes and implementing lasting solutions
• tHelp make our tools and processes more efficient, often through automation
• tKeep projects on track by coordinating with team members and clearly communicating progress
• tLead initiatives to make our workflows better and more efficient, helping the team adopt best practices
• tSupport our ML team by helping improve how our algorithms work and making sure they meet quality standards
About the team
At Amazon Prime Air, we’re solving a unique challenge: delivering packages to customers in under an hour using autonomous delivery drones. Our mission combines safety, efficiency, and scalability to revolutionize last-mile delivery.
Our diverse team of scientists, engineers, and aerospace experts is actively developing and operating delivery services in select locations. We’re looking for talented individuals to join us as we expand our operations and enhance our delivery capabilities.
Learn more about our recent developments and progress on Amazon’s About Amazon blog: https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos
BASIC QUALIFICATIONS
– English language proficiency (written and spoken)
– 2+ years experience in Machine Learning and/or Data Labeling annotation activities.
– Working experience with digital visual content and/or machine learning activities, such as using image/video annotation tools, creating annotation guidelines for visual datasets, etc.
– Proficient in Microsoft Excel with intermediate-level skills, including experience with data analysis, formulae, and data visualization.
– Familiarity with database management systems.
PREFERRED QUALIFICATIONS
• tBachelor’s degree in process or completed in Computer Science, IT, Business Administration, Industrial Engineering, Visual/Graphic Design or Audiovisual Production or related field.
• tWorking experience in Linux systems administration skills.
• tExperience with Kaizen or other process improvement methodologies.
• tExperience troubleshooting complex systems.
• tWorking exposure to 3D modeling, and/or gaming development.
• tStrong problem-solving and analytical thinking abilities.
• tExcellent communication and documentation skills.
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.
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