Urwah Admin

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
FireTV Chennai is looking for passionate, hard-working, and talented software engineers who has experience in building innovative, mission critical, high volume cloud systems that powers our world-class content forward experience for millions of customers. As a software engineer in this team, you are expected to design and implement micro cloud services and APIs serving ultra-high volume transactions. Your cloud services and API&rsquo;s have direct impact to customer experience, be a base for building varied features for FireTV. You identify betterment's to current design, propose improvements, identify impact to dependent systems, implement and rollout changes successfully. You continuously look for improvements that excite our customers, show bias for action and get it done.<br>
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Key job responsibilities<br>
As a Software Engineer, you own micro services and components, adopt to latest technologies, build quality guard rails, alarms and monitors. You should be able to take short term and long term trade-off by working backwards on customer experience. You will be the operational experience champion for your team, identify areas to reduce operational overhead, optimize the cost, build best practices for the team. You raises the quality bar for the team with your every code and design artifact. You will help onboard new engineers and mentor them in the role.<br>
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About the team<br>
Amazon FireTV products are revolutionary consumer devices that have become the #1 best-selling Amazon products. They are among the most innovative and fastest growing businesses at both Amazon and the entire consumer electronics industry. We are looking for talented software engineers to build a new website based on technologies such as React, GraphQL and AWS backend stack. The website you build is the foundation for FireTV's operational businesses. It generates critical data to power FireTV's video catalog and discovery experiences. You will work with product and other technology teams to explore solutions to improve FireTV's key business metrics.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Software Dev Engineer II, FireTV

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers. The Financial Fraud team designs, risk models and operational processes that minimize risk and maximize trust in Amazon.com. The Program Manager will be responsible for driving global initiatives/process improvement programs focused on reducing cost by improving efficiency, improve quality of operations and improve customer experience.<br>
As Program Manager, you will be responsible for maintaining SLA, AHT and Quality for Financial Fraud Operations team along with handling Forecast accuracy, Workflow management and Operational efficiency<br>
You will play a direct role towards cost reductions through productivity improvement, as well as identify opportunities to stream-line existing processes and eliminate waste.<br>
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Key job responsibilities<br>
<ul><li>Supports the site management team by optimizing the staffing requirements for the site&rsquo;s needs.</li><li>Coordinates with local site operations and the global capacity planning team to analyze historical data and forecast demand for that site.</li><li>Manages the analyses of daily, weekly, and monthly reporting of site performance via Key Performance Indicators (e.g. service levels, Productivity, Forecast accuracy).</li><li>Provides the optimal workflow and capacity planning solutions for the upcoming initiatives and new service launches at the site.</li><li>Partner with Program owners, Policy and Science team to improve operational efficiency</li><li>Maintain and Optimize workflow for investigation routing and long term plan for automation</li><li>Primary responsibility for owning end to end Service level delivery and Headcount utilization</li><li>Lead Weekly/Monthly/Quarterly Business Reviews for Operations team.</li></ul><br>
About the team<br>
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers. The Financial Fraud team designs, risk models and operational processes that minimize risk and maximize trust in Amazon.com.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of program or project management experience</li><li>3+ years of working cross functionally with tech and non-tech teams experience</li><li>3+ years of defining and implementing process improvement initiatives using data and metrics experience</li><li>Bachelor's degree</li><li>Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL</li><li>Experience defining program requirements and using data and metrics to determine improvements</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of driving end to end delivery, and communicating results to senior leadership experience</li><li>3+ years of driving process improvements experience</li><li>Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization</li><li>Experience building processes, project management, and schedules</li></ul><br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Program Manager II, Financial Fraud Operation

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for a customer-obsessed Business Intel Engineer that thrives in a culture of data-driven decision making who will be responsible to help us hold a high bar for RBS ACES<br>
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Key job responsibilities<br>
This individual will be responsible for driving/creating:<br>
<ul><li>Leveraging Generative AI tools and Large Language Models (LLMs) to automate data analysis, generate insights, and create natural language summaries of complex datasets</li><li>Building and deploying GenAI-powered analytics solutions to enhance self-service capabilities and accelerate decision-making</li><li>Developing prompt engineering strategies and RAG (Retrieval-Augmented Generation) pipelines to integrate GenAI with existing data infrastructure</li><li>Experimenting with foundation models (e.g., Amazon Bedrock, SageMaker JumpStart) to solve business intelligence challenges</li><li>Experience working with large, multi-dimensional datasets from multiple sources</li><li>Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.</li><li>Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)</li><li>Experience in deployment of Machine Learning and Statistical models</li><li>Building new Python utilities and maintaining existing ones</li><li>Enabling more efficient adhoc queries &amp; analysis</li><li>Working closely with research scientists, business analysts and product leads to scale data</li><li>Ensuring consistency between various platform, operational, and analytic data sources to enable faster and more efficient detection and resolution of issues</li><li>Exploring and learn the latest AWS technologies to provide new capabilities and increase efficiencies</li><li>Mentoring the team on analytics best practices</li></ul><br>
A day in the life<br>
<ul><li>Working closely with cross-functional teams including Product/Program Managers, Software Development Managers, Applied/Research/Data Scientists, and Software Developers</li><li>Building dashboards, performing root cause analysis, and sharing actionable insights with stakeholders to enable data-informed decision making</li></ul>
- Leading reporting and analytics initiatives to drive data-informed decision making- Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight<br>
<ul><li>Transforming complex business requirements into actionable analytics solutions.</li></ul><br>
About the team<br>
Retail Business Service accelerates WW Amazon Stores growth by improving customer and Selling Partner experiences while optimizing costs. Our three-fold charter: 1) Detect and fix customer shopping impediments, 2) Grow SP business profitably including scaled tier-2/3 management, 3) Reduce Cost-to-Serve across Stores P&amp;L<br>
RBS ACES transforms organizational capability through four pillars: Org Excellence, People Excellence, Continuous Improvement, and Innovation. The team proactively solves internal challenges via systematic defect identification and data-driven frameworks. Through various programs, ACES positions RBS as Amazon's benchmark organization.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience in Statistical Analysis packages such as R, SAS and Matlab</li><li>Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling</li><li>Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business</li><li>Experience writing complex SQL queries</li><li>Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field</li><li>Experience with Generative AI technologies, including prompt engineering, working with LLM APIs (e.g., Amazon Bedrock, OpenAI, Anthropic), or building AI-powered analytics applications</li><li>Familiarity with GenAI frameworks and tools such as LangChain, vector databases, or embedding models for semantic search and retrieval</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift</li><li>Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets</li><li>Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field</li><li>Relentless curiosity and drive to explore emerging trends and technologies in the field</li></ul><br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Business Intelligence Engineer, RBS ACES

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Interested to build the next generation Financial systems that can handle billions of dollars in transactions? Interested to build highly scalable next generation systems that could utilize Amazon Cloud?<br>
Massive data volume + complex business rules in a highly distributed and service oriented architecture, a world class information collection and delivery challenge. Our challenge is to deliver the software systems which accurately capture, process, and report on the huge volume of financial transactions that are generated each day as millions of customers make purchases, as thousands of Vendors and Partners are paid, as inventory moves in and out of warehouses, as commissions are calculated, and as taxes are collected in hundreds of jurisdictions worldwide.<br>
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Key job responsibilities<br>
<ul><li>Understand the business and discover actionable insights from large volumes of data through application of machine learning, statistics or causal inference.
</li><li>Analyse and extract relevant information from large amounts of Amazon&rsquo;s historical transactions data to help automate and optimize key processes</li><li>Research, develop and implement novel machine learning and statistical approaches for anomaly, theft, fraud, abusive and wasteful transactions detection.</li><li>Use machine learning and analytical techniques to create scalable solutions for business problems.</li><li>Identify new areas where machine learning can be applied for solving business problems.</li><li>Partner with developers and business teams to put your models in production.</li><li>Mentor other scientists and engineers in the use of ML techniques.</li></ul><br>
A day in the life<br>
<ul><li>Understand the business and discover actionable insights from large volumes of data through application of machine learning, statistics or causal inference.
</li><li>Analyse and extract relevant information from large amounts of Amazon&rsquo;s historical transactions data to help automate and optimize key processes</li><li>Research, develop and implement novel machine learning and statistical approaches for anomaly, theft, fraud, abusive and wasteful transactions detection.</li><li>Use machine learning and analytical techniques to create scalable solutions for business problems.</li><li>Identify new areas where machine learning can be applied for solving business problems.</li><li>Partner with developers and business teams to put your models in production.</li><li>Mentor other scientists and engineers in the use of ML techniques.</li></ul><br>
About the team<br>
The FinAuto TFAW(theft, fraud, abuse, waste) team is part of FGBS Org and focuses on building applications utilizing machine learning models to identify and prevent theft, fraud, abusive and wasteful(TFAW) financial transactions across Amazon. Our mission is to prevent every single TFAW transaction. As a Machine Learning Scientist in the team, you will be driving the TFAW Sciences roadmap, conduct research to develop state-of-the-art solutions through a combination of data mining, statistical and machine learning techniques, and coordinate with Engineering team to put these models into production. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms</li><li>Experience in professional software development</li></ul><br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist, FinAuto

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities. We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines.<br>
This is a fixed term contractual role for 1 year, requiring flexibility to work in rotational shifts.<br>
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Key job responsibilities<br>
<ul><li>Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content</li><li>Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines</li><li>Interpret technical documentation to implement solutions accurately</li><li>Dive deep into issues and implement solutions independently</li><li>Identify and report tooling bugs and suggest improvements</li><li>Make sound judgments and logical decisions when faced with ambiguous or incomplete information</li></ul><br>
About the team<br>
Amazon strives to be the world&rsquo;s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or equivalent</li><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy</li><li>Familiarity with written language data, including experience with annotation, and other forms of data markup.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).</li><li>Utilize Python and SQL to automate and optimize data processing workflows</li><li>Experience/ability to learn and manage stakeholder relationships across departments</li></ul><br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Agentic AI Teacher

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Manage a portfolio of vendors who are top performers on the marketplace. &bull; Manage and grow the removals quantum through relevant business insights. Build and execute vendor level growth plans that cover key business opportunities for the vendor and Marketplace. &bull; Manage the vendor relationship by championing the vendor&rsquo;s needs on the marketplace. &bull; Build strong communication channels with the vendor, set proper expectations, provide clear status communications, and manage towards a growth plan. &bull; Guide vendors on the best practices of Business operations to result in a great consumer experience. &bull; Analyze relevant data to provide business insights. Conduct deep dive analysis and present data trends on the vendor&rsquo;s current business and future opportunities. Publish recommendations and action plans based on data. &bull; Partner with various internal stakeholders to unblock vendor needs or fast track processes</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>1+ years of sales experience</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>6+ months of sales experience</li></ul><br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Account Manager, IN Recommerce

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
This role works with our model provider partners to tell the stories of their latest technologies and how organizations around the world are using their Large Language Models (LLMs) on Amazon Bedrock and Amazon SageMaker to drive innovation.<br>
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Key job responsibilities<br>
This role works closely with our model provider partners to launch their latest models on the world's most advanced cloud and acts as one of the main connection points between their communication teams and AWS.<br>
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A day in the life<br>
Each day in this role is different. One day will be launching the latest LLMs and the next working to tell the story of how customers around the world are adopting the most advanced AI technology on the planet and running it on AWS.
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About the team<br>
This role is part of the high-performing AWS Technology Communications team, where driving innovative, new communications campaigns is encouraged and where we continually push the bounds of creativity - across earned, owned, and social channels.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>7+ years of recent professional communications or public relations experience</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional communications or public relations</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $114,000/year in our lowest geographic market up to $188,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

AWS Comms Manager, AWS Communications

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