Datacenter Material Associate Iii Hub jobs at Amazon in Mexico, Orizaba

Key job responsibilities
The ideal candidate for this role has strong experience in designing and developing scalable high-performance systems and services that are flexible, reliable, and maintainable. You have excellent problem-solving skills, a solid understanding of computer science fundamentals, and a customer-focused mindset. You take pragmatic and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams. You will build services to handle billions of requests per day, while maintaining response latencies in the milliseconds and meeting strict SLA requirements. Our systems and algorithms operate on one of the world's largest product catalogs and it is quite routine for our systems to operate on massive datasets using distributed frameworks.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience building large-scale machine learning and AI solutions at Internet scale

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience in e-commerce, retail or advertising

Key job responsibilities
As a Data Associate some of your responsibilities will be, but not limited to:
• Be the go-to expert for our ML data team, guiding others on how to collect and label data correctly while managing various projects
• Help create high-quality training data for our ML models by carefully reviewing and labeling complex data examples
• Create and update clear instructions and guidelines that help our team work consistently and efficiently
• Monitor and improve the quality of our data by tracking important measurements and finding ways to make our processes better
• Work closely with engineers, scientists, and project managers to improve how we handle and process data
• Solve complex problems by finding their root causes and implementing lasting solutions
• Help make our tools and processes more efficient, often through automation
• Keep projects on track by coordinating with team members and clearly communicating progress
• Lead initiatives to make our workflows better and more efficient, helping the team adopt best practices
• Support our ML team by helping improve how our algorithms work and making sure they meet quality standards

- 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.

• Bachelor's degree in process or completed in Computer Science, IT, Business Administration, Industrial Engineering, Visual/Graphic Design or Audiovisual Production or related field.
• Working experience in Linux systems administration skills.
• Experience with Kaizen or other process improvement methodologies.
• Experience troubleshooting complex systems.
• Working exposure to 3D modeling, and/or gaming development.
• Strong problem-solving and analytical thinking abilities.
• Excellent communication and documentation skills.

Amazon is seeking a self-motivated individual for an exciting new Data Center Material Associate III. This is an entry level position and qualified candidates do not require deep knowledge of software operations or networking protocols.This position will have several key functions including:• Work experience as a warehouse coordinator, data analyst or in a related field
• Ability to work with stakeholders to assess potential risks
• Ability to analyze existing tools and databases and provide software solution recommendations
• High-level written and verbal communication skills
• Help to maintain the order of the storage.
• Managing inventory and storage, keeping files updated
• Create excel queries to validate inventory files
• Perform inventory audits to ensure data accuracy
• Main point of contact with carriers to coordinate transportation of mail, equipment and any type of packages
• Making sure employees receive shipments in a timely manner, as well as keeping track of returned equipment
• Support Operations team planning All-Hands meetings, on-site and other team events
• Responsible of creating and updating documentation and SOPs (Standard Operations Processes)
• Create and follow up new projects
Key job responsibilities
• You are able to identify solutions for inventory defects and/or parts-availability problems and engage with relevant teams to identify gaps and recommend fixes.
• You are able to performs physical count of inventory, reconciling discrepancies and, coordinate receipt of incoming material and equipment
• You are able to troubleshoot and resolve straightforward parts problems without SOPs. You escalate appropriately when work significantly deviates from documented practices or when barriers arise
• You execute inventory-related projects that deliver value to your team and/or customers. You are able to define requirements and manage the execution. These projects may involve other locations or be part of a larger continuous improvement initiative
• You are able to partner effectively with internal teams and peers to meet objectives.
• You have expertise in your team’s SOPs and workflows. You are able to create SOPs and training to help your team execute
• You coordinate retrospectives and own action plans. When there are problems, you assist with the creation of mitigation plans
• You are able to create inventory reports based on operation requirements and, provide analysis about risks and/or findings. You escalate appropriately when work significantly deviates from documented practices or when barriers arise

• 2+ years of working experience in warehouse operations & logistic processes
• Data Analyst Skills - Data Collection
• Knowledge of main Microsoft Office tools (Excel, Word, Outlook)
• High proficiency in Excel and spreadsheets
• Familiarity of inventory management tools
• Good knowledge in WMS (Warehouse Management System)

• Diploma in Supply Chain, Logistics or equivalent
Facilitate with logistics, warehouse and supply chain planning for project implementations
• Ability to quickly learn organizational structure and the objectives of the team
• Strong organizational and communication skills, team orientated philosophy, and problem-solving skills
• Ability to communicate effectively with a variety of constituent groups such as senior management, peers, and outside vendors
• Ability to build a strong internal network
• Knowledge of safety regulations and practices

Key job responsibilities
As a Data Associate some of your responsibilities will be, but not limited to:
• Review and label high-quality data to train machine learning models
• Create and update clear instructions and guidelines that help our team work consistently and efficiently
• Check work quality and help identify ways to improve our processes.
• Help create and update training materials and work guidelines
• Track project progress and share updates with stakeholders
• Test new tools and provide feedback for improvements
• Work with team members to solve complex data challenges
• Support our ML team by helping improve how our algorithms work and making sure they meet quality standards

- 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.

• Bachelor's degree in process or completed in Computer Science, IT, Business Administration, Industrial Engineering, Visual/Graphic Design or Audiovisual Production or related field.
• Working experience in Linux systems administration skills.
• Experience with Kaizen or other process improvement methodologies.
• Experience troubleshooting complex systems.
• Working exposure to 3D modeling, and/or gaming development.
• Strong problem-solving and analytical thinking abilities.
• Excellent communication and documentation skills.