403 Markdown Jobs - Page 11

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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. Company - ADCI MAA 12 SEZ Job ID: A2968582 Show more Show less

Job Description: We are seeking an experienced Technical Content Writer to create clear, concise, and engaging content that simplifies complex technical concepts for our audience. The ideal candidate will have a strong background in technology and a proven track record of producing high-quality technical documentation, including user manuals, API documentation, white papers, and blog posts. Key Responsibilities: Write and edit technical documents, including user guides, API documentation, installation manuals, and product specifications. Develop content for technical blogs, articles, case studies, and white papers. Collaborate with engineers, product managers, and other stakeholders to gather and understand technical information. Ensure all content is accurate, up-to-date, and aligns with company standards and branding. Translate complex technical concepts into easy-to-understand language for non-technical audiences. Review and revise existing documentation for clarity and accuracy. Maintain and organize content in a structured format, adhering to style guides and best practices. Stay current with industry trends and emerging technologies to ensure content relevance. Qualifications: Bachelor’s degree in Technical Communication, Computer Science, Engineering, or a related field, or equivalent work experience. 1 to 3 years of experience as a Technical Content Writer or similar role. Strong understanding of technical concepts and terminology. Proven ability to write and edit complex technical documents clearly and concisely. Familiarity with documentation tools such as Markdown, DITA, or Confluence. Excellent written and verbal communication skills. Strong attention to detail and ability to work independently. Experience with content management systems and SEO best practices is a plus. Experience: Minimum 1 to 3 years of experience as a Content Writer. Job Type: Full-time Pay: ₹20,000.00 - ₹60,000.00 per month Schedule: Day shift Language: English (Preferred) Work Location: In person

Scope: 6 month contract, full-time Start Date: Immediate Location: Pune, on-site Job Title: Technical Writer Remuneration: ₹1,567,592.93 - ₹2,580,855.61 per year Job Description: As a technical communications expert you will be responsible for explaining the company’s products to its customers. The scope of work includes the following responsibilities: Configuration guide User guide Deployment guide Operator guide User guide Developer guide Requirements: Proven experience working with Git and Markdown Proven experience of DITA and Oxygen XML API writing experience Must live on-site in Pune at time of application The right person will: Deliver thorough, high-quality documentation Pay attention to editing and grammar Be a team player Work under pressure Cope with ambiguous situations and adapt rapidly to new ones Show more Show less

There are NO limits to your career: come shape the future and be part of a truly unique global culture at OutSystems! Job Description A global leader in modern development platforms, OutSystems is focused on enabling any organization to innovate through software. We are changing how software is built with the low-code platform most developers prefer and empowering organizations to create and deploy critical applications that transform their business rapidly. We seek a Senior Technical Writer / Content Developer based in India, Portugal, or Spain to support our growth and commitment to hiring exceptional performers. As a Senior Technical Writer / Content Developer , you can work with technically complex information, engage with subject matter experts, and produce technical enablement content for developers and customers. You are curious and dig into technology because you love to solve problems. You get things done by working autonomously and by engaging with the team. Job Responsibilities And Expectations Create high-quality technical documentation for app developers and admins. Partner with developers and other SMEs in value streams to identify content gaps and create plans to address them effectively. Advocate for user-centered documentation and recommend ways to improve our existing knowledge base. Meet deadlines in multiple projects. Monitor relevant metrics and act based on data points. Test pre-release software to understand functionality, workflows, and potential issues. Mentor junior writers on writing, tools, and best practices. Work in an agile way, ensuring content is valuable and useful. Required skills and experience: Skilled in writing and editing technical content of different types. Experienced in defining best practices, tools, templates, and terminology to improve user experience. Familiar with Agile (Scrum, Kanban) and tools like Jira. Able to assess content impact using metrics. Knowledgeable in the Software Development Lifecycle (SDLC), including planning, coding, testing, and deployment. Familiar with key software development concepts (web services, databases, cloud architecture…). Experienced with a docs-as-code approach (Markdown, GitHub, and VS Code) or a willingness to learn it during onboarding (OutSystems provides training). Way To Stand Out From The Crowd Knowledge of AI and its application in technical content development. Hands-on coding experience to explore how the software works and understand OutSytems technology better. Experience with designing learning courses. Willingness to get an OutSystems certification in a few months. The Longer Story One of the fastest-growing B2B software companies in the world, OutSystems is on a mission to enable every organization to innovate through software. We are looking for talented and motivated people to join us in helping companies solve some of their most strategic business challenges, from modernizing their workplace processes to transforming their employee and customer experiences. As a member of the OutSystems global team, you will help build, deliver, manage, and evolve software that is a low-code market leader preferred by professional developers worldwide. OutSystems is a truly global company, with more than 525,000 developer community members, 1,700 employees, 400 partners, and thousands of active customers in over 87 countries and across 22 industries. Founded in 2001, OutSystems has offices in the United States, United Kingdom, the Netherlands, Germany, the UAE, Japan, Hong Kong, Malaysia, Australia, and Singapore, and of course has a thriving, worldwide community of remote employees. Working at OutSystems We do not have many rules, but we have high standards and a culture of global collaboration. Our commitment to our culture is highlighted in The Small Book of the Few Big Rules, written by our Founder and CEO, Paulo Rosado. This commitment to culture landed us in the Forbes top cloud computing employers four years in a row. We grow, change, and innovate, giving our teams the space to be proactive and creative. We care about growth and development. Vertical career progression is obvious, and we also encourage lateral moves, joining different teams, and mastering new skills. Global colleagues who are as intelligent, hardworking, and driven as you. Our DNA is disrupting the status quo. It is why our company exists. We “Ask Why” a lot. It helps us connect our work to the bigger picture and often uncovers a better, more agile way. What do we have to offer you? A company that continues to grow, change and innovate, and gives our teams the space to be proactive and creative. Real career opportunities. We care about growth and development. Vertical career progression is an obvious possibility, but we also offer the possibility for lateral moves, joining different teams, and mastering specific skills. Work colleagues that are as smart, hardworking and driven as you – and a team that is global. Disrupting the status quo is in our DNA. In fact, it’s why our company exists. We “Ask Why” a lot. It helps us connect our individual work to the bigger picture and sometimes even uncover a better way. Are you ready for the next step in your career? Then we’d love to hear from you! OutSystems nurtures an inclusive culture of diversity, where everyone feels empowered to be their authentic self and perform at their best. A company that embraces the creativity and innovation that comes through diverse perspectives. We are committed to creating a team that reflects society through inclusive programs and initiatives and are proud to be an equal opportunity employer. All qualified applicants receive equal consideration regardless of race, place of origin, color, age, marital status, religion, sex, sexual orientation, gender expression or identity, protected veteran status, disability status or any other status protected by law. Join us in disrupting the status quo of the low-code market, we give you the power to "Ask Why", you give our customers the power to innovate through software! Show more Show less

Position Summary: We are seeking a highly motivated and detail-oriented professional to join our team as Retail Planner for the brand. This role will be pivotal in driving business growth and ensuring operational efficiency across Turtle in all formats (LFS, EBO and Trade) Role & responsibilities Business Planning and Forecasting : Develop and manage business plans for all the channel, including budget preparation and forecasting for the current and upcoming fiscal years Budget and Inventory Management : Finalize category and business unit level buy budgets for future seasons. Coordinate order placements and manage Open-To-Buy (OTB) budgets in alignment with sales projections. Prepare month-on-month (MoM) inward stock plans to optimize stock turnover. Inventory Operations : Oversee warehouse projections and inventory management. Coordinate stock transfers and inter-channel inventory transfers. Sales and Discount Strategy : Design and execute strategic sales and discount plans for full-price, end-of-season sales (EOSS), and major events to drive revenue and customer engagement. Cross-Functional Collaboration : Partner with Merchandising team, operation team & Warehouse teams to ensure alignment and effective execution of plans. Performance Monitoring and Reporting : Continuously monitor stock cover and sell-through rates to identify opportunities for sales improvement and inventory optimization. Prepare and analyse daily, weekly, and monthly business performance reports to support decision-making. Preferred candidate profile Masters degree in Business, MFM from NIFT or an MBA 3+ years of experience in retail planning (menswear experience mandatory) Strong analytical and problem-solving skills with proficiency in tools like Excel, and reporting platforms. Excellent communication and interpersonal skills to work collaboratively with cross-functional teams.

Company Qualcomm India Private Limited Job Area Engineering Services Group, Engineering Services Group > Technical Communications - Writing General Summary Job Description This position will be a part of the Global Technical Communications team that produces quality technical product information for all of Qualcomm’s products and customers. As a Writer, you will support engineers in planning, organizing, writing, formatting, editing, and releasing highly technical information deliverables such as Developer documentation, SDKs, Quick starts, User guides, Debug guides, APIs, Data sheets, Specifications, Programmer reference, tutorials, presentations, etc.-- both hard and soft copy. Skills/Experience Good English communication (writing) skills – 6 -10 years of experience creating end-user documents in a high-tech technical publication’s environment Ability to design and develop technical information in a well-structured manner: concise and easy-to-use Proficient in DITA-based authoring, XML editing with Oxygen Familiar with graphics packages -- Adobe Illustrator and Microsoft Visio skills Skilled in Microsoft suite of applications Basic understanding of computer architecture and semiconductor fundamentals Quick to learn Handle changes and ambiguity Team player Desirable Experience with Developer documentation Knowledge of structured markup language like Markdown or reStructuredText (rST) Knowledge of the Docs-as-Code methodology Knowledge of Content Management Systems Working knowledge of Perforce/GitHub Web content development and document delivery JIRA, Confluence, API documentation Additional Skills/Interest Video creation and editing Ability to understand chipset layout/circuit design Knowledge of mobile systems, CPU architectures, digital interfaces Additional Job Description Creates clear, accurate, and concise technical content by leveraging knowledge of technical writing principles, resources, and tools as well as various types of Qualcomm products and technologies Edits, updates, and reviews content based on an understanding of project requirements to meet business goals and customer needs, in collaboration with other teams (e.g., Engineering, Business) Ensures technical content is standardized for ease of use by stakeholders and innovates on technical documentation creation process to align with industry standards and best practices Minimum Qualifications Bachelor's degree in Engineering, Computer Science, Communications, English, or related field and 4+ years of experience writing and editing software and/or hardware documentation and content, or related work experience. OR Associate's degree and 6+ years of writing and editing software and/or hardware documentation and content, or related work experience. OR High School diploma or equivalent and 8+ years of writing and editing software and/or hardware documentation and content, or related work experience. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3076837 Show more Show less

Job Area: Engineering Services Group, Engineering Services Group > Technical Communications - Writing General Summary: Minimum qualifications: Bachelors degree in engineering, Computer Science, Communications, English, or related field 5 to 8 years of experience writing and editing hardware or software content for developer audiences Experience in document development, with demonstrated writing, editing, formatting, design, and proofreading skills Knowledge of DITA, XML, or markup languages (e.g. HTML), Web content development and document delivery Familiarity with graphics packages -- Adobe Illustrator and Microsoft Visio Skilled in Microsoft suite of applications Excellent attention to detail, with the ability to work in a fast-paced, dynamic environment Experience in integrating AI into work processes including using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the writing function. Desirable: Experience with Developer Documentation Knowledge of Content Management Systems - Working knowledge of Perforce/GitHub Web content development and document delivery, JIRA and Confluence, Sphinx and RST, Markdown Ability to understand chipset layout/circuit design, connected systems, CPU architectures, digital interfaces Video creation and editing Minimum Qualifications: Bachelor's degree in Engineering, Computer Science, Communications, English, or related field and 4+ years of experience writing and editing software and/or hardware documentation and content, or related work experience. OR Associate's degree and 6+ years of writing and editing software and/or hardware documentation and content, or related work experience. OR High School diploma or equivalent and 8+ years of writing and editing software and/or hardware documentation and content, or related work experience.

Job Area: Engineering Services Group, Engineering Services Group > Technical Communications - Writing General Summary: Bachelors degree in engineering, Computer Science, Communications, English, or related field 5 to 8 years of experience writing and editing hardware or software content for developer audiences Experience in document development, with demonstrated writing, editing, formatting, design, and proofreading skills Knowledge of DITA, XML, or markup languages (e.g. HTML), Web content development and document delivery Familiarity with graphics packages -- Adobe Illustrator and Microsoft Visio Skilled in Microsoft suite of applications Excellent attention to detail, with the ability to work in a fast-paced, dynamic environment Experience in integrating AI into work processes including using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the writing function. Desirable: Experience with Developer Documentation Knowledge of Content Management Systems - Working knowledge of Perforce/GitHub Web content development and document delivery, JIRA and Confluence, Sphinx and RST, Markdown Ability to understand chipset layout/circuit design, connected systems, CPU architectures, digital interfaces Video creation and editing Minimum Qualifications: Bachelor's degree in Engineering, Computer Science, Communications, English, or related field and 4+ years of experience writing and editing software and/or hardware documentation and content, or related work experience. OR Associate's degree and 6+ years of writing and editing software and/or hardware documentation and content, or related work experience. OR High School diploma or equivalent and 8+ years of writing and editing software and/or hardware documentation and content, or related work experience.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Associate Analyst, R Programmer-1 Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard’s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company’s product suites About the Role We are looking for an R programmer to join Mastercard’s Economics Institute, reporting to the team lead for Economics Technology. An individual who will: create clear, compelling data visualisations that communicate economic insights to diverse audiences develop reusable R functions and packages to support analysis and automation create and format analytical content using R Markdown and/or Quarto design and build scalable Shiny apps develop interactive visualisations using JavaScript charting libraries (e.g. Plotly, Highcharts, D3.js) or front-end frameworks (e.g. React, Angular, Vue.js)work with databases and data platforms (eg. SQL, Hadoop) write clear, well-documented code that others can understand and maintain collaborate using Git for version control All About You proficient in R and the RStudio IDE proficient in R packages like dplyr for data cleaning, transformation, and aggregation familiarity with dependency management and documentation in R (e.g. roxygen2) familiar with version control concepts and tools (e.g. Git, GitHub, Bitbucket) for collaborative development experience writing SQL and working with relational databases creative and passionate about data, coding, and technology strong collaborator who can also work independently organized and able to prioritise work across multiple projects comfortable working with engineers, product owners, data scientists, economists Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Job Title: Technical Documentation Writer Location: Bangalore Job Type : Full-Time Department: Engineering/Product/Technical Writing Exp-4+yrs Notice period- 0 to 15Days Job Summary: We are seeking a detail-oriented and technically skilled Technical Documentation Writer to create clear, concise, and accurate documentation for our products and services. You will work closely with engineering, product management, customer support, and marketing teams to gather information and produce user manuals, online help, release notes, API documentation, FAQs, and other technical content. Key Responsibilities: Create, edit, and maintain high-quality technical documents such as user manuals, installation guides, system operations guides, API references, and online help. Translate complex technical information into clear, readable documentation for a variety of audiences, including developers, system administrators, and end users. Collaborate with subject matter experts (SMEs) to ensure accuracy and completeness of content. Organize documentation logically and ensure consistency in terminology, style, and voice. Participate in product design reviews, sprint meetings, and testing to gain firsthand knowledge of products and updates. Manage version control and documentation workflows using tools like Git, Confluence, or other documentation platforms. Work with localization teams to prepare documentation for internationalization and translation. Evaluate and implement tools and processes to improve documentation efficiency and quality. Qualifications: Required: Bachelor’s degree in English, Technical Communication, Computer Science, Engineering, or a related field. 2+ years of experience in technical writing or similar role. Excellent written and verbal communication skills. Ability to understand and document technical systems, code, or hardware. Proficiency with documentation tools such as Markdown, Microsoft Word, Adobe FrameMaker, MadCap Flare, or equivalent. Familiarity with content management systems and version control tools. Show more Show less

Technical Writer - Contract As a technical communications expert you will be responsible for explaining the company’s products to its customers. The scope of work includes the following responsibilities: Configuration guide User guide Deployment guide Operator guide User guide Developer guide Requirements: Proven experience working with Git and Markdown Proven experience of DITA and Oxygen XML API writing experience Deliver thorough, high-quality documentation Pay attention to editing and grammar Be a team player Work under pressure Cope with ambiguous situations and adapt rapidly to new ones The position is a contract of six months. If you have the above experience and already live in Pune we would love to receive your resume. Note the position is to start immediately. Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: ₹1,567,592.93 - ₹2,580,855.61 per year Schedule: Day shift Monday to Friday Experience: Oxygen: 5 years (Required) DITA: 5 years (Required) Git: 3 years (Required) Markdown: 3 years (Required) API writing: 5 years (Required) Location: Pune, Maharashtra (Required) Work Location: In person Application Deadline: 31/07/2025

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation C2 level in the Common European Framework CEFR scale 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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. Company - ADCI MAA 12 SEZ Job ID: A3005017 Show more Show less

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation C2 level in the Common European Framework CEFR scale 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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. Company - ADCI MAA 12 SEZ Job ID: A3005016 Show more Show less

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation C2 level in the Common European Framework CEFR scale 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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. Company - ADCI MAA 12 SEZ Job ID: A3005033 Show more Show less

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation C2 level in the Common European Framework CEFR scale 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3005205 Show more Show less

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation C2 level in the Common European Framework CEFR scale 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3005183 Show more Show less

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation C2 level in the Common European Framework CEFR scale 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3005204 Show more Show less

Company Description UsefulBI Corporation provides comprehensive solutions across Data Engineering, Data Science, AI/ML, and Business Intelligence. The company's mission is to empower astute business decisions through integrating data insights and cutting-edge AI. UsefulBI excels in data architecture, cloud strategies, Business Intelligence, and Generative AI to deliver outcomes that surpass individual capabilities. Role Description We are seeking a skilled R and Python Developer with hands-on experience developing and deploying applications using Posit (formerly RStudio) tools, including Shiny Server, Posit Connect, and R Markdown. The ideal candidate will have a strong background in data analysis, application development, and creating interactive dashboards for data-driven decision-making. Key Responsibilities Design, develop, and deploy interactive web applications using R Shiny and Posit Connect. Write clean, efficient, and modular code in R and Python for data processing and analysis. Build and maintain R Markdown reports and Python notebooks for business reporting. Integrate R and Python scripts for advanced analytics and automation workflows. Collaborate with data scientists, analysts, and business users to gather requirements and deliver scalable solutions. Troubleshoot application issues and optimize performance on Posit platform (RStudio Server, Posit Connect). Work with APIs, databases (SQL, NoSQL), and cloud platforms (e.g., AWS, Azure) as part of application development. Ensure version control using Git and CI/CD for application deployment. Required Qualifications 4+ years of development experience using R and Python. Strong experience with Shiny apps, R Markdown, and Posit Connect. Proficient in using packages like dplyr, ggplot2, plotly, reticulate, and shiny. Experience with Python data stack (pandas, numpy, matplotlib, etc.) Hands-on experience with deploying apps on Posit Server / Connect. Familiarity with Git, Docker, and CI/CD tools. Excellent problem-solving and communication skills. (ref:hirist.tech) Show more Show less

Responsibilities Develop comprehensive documentation that meets organizational standards. Gain a deep understanding of products and services, and translate complex information into simple, polished, engaging content. Research, outline, write, and edit content, working closely with software development and product management teams to understand Product requirements. Gather information from subject-matter experts and develop, organize, and write procedure manuals, technical specifications, and process documentation. Research, create, and maintain information architecture templates that adhere to organizational and legal standards and allow for easy data migration. Develop content in alternative media forms for maximum usability, with a consistent voice across all : Bachelor's degree (or equivalent) in Humanities/communications, or relevant technical field. A firm understanding of SDLC (Software Development Life Cycle) and DDLC (Document Development Life Cycle). Previous experience in software product development teams. Experience in using any of the Documentation Platforms, Markdown Language Tools. Experience in creating marketing content such as demo scripts, brochures, and white papers. Experience with creative writing is an added advantage. Good to have exposure to programming or Application Development. Create and maintain clear, comprehensive documentation for technical products like Spring, Java, Angular, and Bootstrap, ensuring ease of use for developers and end-users. Develop training materials, tutorials, and guides to effectively educate users on technical topics and product features. 4+ years of experience as an effective technical writer. Proven ability to quickly learn and understand complex subject matter. Experience in writing Software product documentation and procedure manuals for various audiences. Excellent written communication skills, with a keen eye for detail. Good to have exposure to Programming or Application Development using Java. Ability to handle multiple products simultaneously. (ref:hirist.tech) Show more Show less

Company Description Databahn is a pioneering company in the cybersecurity "big data" arena, offering innovative solutions through its Data Fabric platform. The platform revolutionises data handling, federating, and decoupling data ingestion to provide a more efficient and cost-effective data management solution. By simplifying processes and eliminating high subscription fees, Databahn enhances data quality, governance, and analysis within Security Operations Centers (SOC). The platform ensures proactive security controls, enabling organizations to have full control and deep insights into their data posture. Role Description This is a full-time remote role for a Documentation Writer. The Documentation Writer will be responsible for creating, reviewing, and updating technical documentation related to our Data Fabric platform. This includes user manuals, installation guides, API documentation, and release notes. The role involves close collaboration with engineering, product management, and support teams to ensure the documentation meets the needs of end-users and is in line with industry best practices. Qualifications Technical Writing and Documentation skills Experience in creating user manuals, installation guides, and API documentation Ability to collaborate with engineering, product management, and support teams Strong understanding of cybersecurity concepts and data management Excellent written and verbal communication skills Proficiency with documentation tools and software (e.g., Markdown, AsciiDoc, DITA, Confluence) Ability to work independently and remotely Bachelor's degree in Technical Writing, Communications, Computer Science, or related field Experience with AI models and Data Lakes is a plus Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Analyst, R Programmer-3 Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard’s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company’s product suites About The Role We are looking for an R programmer to join Mastercard’s Economics Institute, reporting to the team lead for Economics Technology. An individual who will: create clear, compelling data visualisations that communicate economic insights to diverse audiences develop reusable R functions and packages to support analysis and automation create and format analytical content using R Markdown and/or Quarto design and build scalable Shiny apps develop interactive visualisations using JavaScript charting libraries (e.g. Plotly, Highcharts, D3.js) or front-end frameworks (e.g. React, Angular, Vue.js)work with databases and data platforms (eg. SQL, Hadoop) write clear, well-documented code that others can understand and maintain collaborate using Git for version control All About You proficient in R and the RStudio IDE proficient in R packages like dplyr for data cleaning, transformation, and aggregation familiarity with dependency management and documentation in R (e.g. roxygen2) familiar with version control concepts and tools (e.g. Git, GitHub, Bitbucket) for collaborative development experience writing SQL and working with relational databases creative and passionate about data, coding, and technology strong collaborator who can also work independently organized and able to prioritise work across multiple projects comfortable working with engineers, product owners, data scientists, economists Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-250450 Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Analyst, R Programmer-2 Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard’s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company’s product suites About The Role We are looking for an R programmer to join Mastercard’s Economics Institute, reporting to the team lead for Economics Technology. An individual who will: create clear, compelling data visualisations that communicate economic insights to diverse audiences develop reusable R functions and packages to support analysis and automation create and format analytical content using R Markdown and/or Quarto design and build scalable Shiny apps develop interactive visualisations using JavaScript charting libraries (e.g. Plotly, Highcharts, D3.js) or front-end frameworks (e.g. React, Angular, Vue.js)work with databases and data platforms (eg. SQL, Hadoop) write clear, well-documented code that others can understand and maintain collaborate using Git for version control All About You proficient in R and the RStudio IDE proficient in R packages like dplyr for data cleaning, transformation, and aggregation familiarity with dependency management and documentation in R (e.g. roxygen2) familiar with version control concepts and tools (e.g. Git, GitHub, Bitbucket) for collaborative development experience writing SQL and working with relational databases creative and passionate about data, coding, and technology strong collaborator who can also work independently organized and able to prioritise work across multiple projects comfortable working with engineers, product owners, data scientists, economists Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-250449 Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Analyst, R Programmer-1 Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard’s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company’s product suites About The Role We are looking for an R programmer to join Mastercard’s Economics Institute, reporting to the team lead for Economics Technology. An individual who will: create clear, compelling data visualisations that communicate economic insights to diverse audiences develop reusable R functions and packages to support analysis and automation create and format analytical content using R Markdown and/or Quarto design and build scalable Shiny apps develop interactive visualisations using JavaScript charting libraries (e.g. Plotly, Highcharts, D3.js) or front-end frameworks (e.g. React, Angular, Vue.js)work with databases and data platforms (eg. SQL, Hadoop) write clear, well-documented code that others can understand and maintain collaborate using Git for version control All About You proficient in R and the RStudio IDE proficient in R packages like dplyr for data cleaning, transformation, and aggregation familiarity with dependency management and documentation in R (e.g. roxygen2) familiar with version control concepts and tools (e.g. Git, GitHub, Bitbucket) for collaborative development experience writing SQL and working with relational databases creative and passionate about data, coding, and technology strong collaborator who can also work independently organized and able to prioritise work across multiple projects comfortable working with engineers, product owners, data scientists, economists Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-250448 Show more Show less

About : Supalearn is building an innovative AI assisted Learning Management Solution designed to revolutionize online education and collaboration. Our platform leverages cutting-edge technologies to deliver rich content, interactive video conferencing, collaborative whiteboards, and intelligent AI-powered features. We are a dynamic and fast-paced team committed to creating impactful and user-friendly solutions. The Opportunity: We are seeking a highly skilled and experienced Senior Full Stack Software Engineer to join our growing team. You will play a pivotal role in designing, developing, and maintaining our Next.js-based LMS platform. This is an exciting opportunity for a passionate developer who thrives in a collaborative environment and is eager to contribute to a product with a significant educational impact. Responsibilities: ● Lead the design, development, and deployment of robust, scalable, and secure full-stack solutions for our Next.js-based LMS. ● Collaborate closely with the management team and guide the junior developers. ● Develop and maintain responsive and intuitive user interfaces using React and TypeScript. ● Design and implement efficient and reliable backend services and APIs, ensuring seamless integration with various databases (e.g., PostgreSQL, MongoDB). ● Implement and optimize features such as markdown content rendering, real-time video calling, collaborative whiteboard functionality, and integrations with AI model APIs. ● Ensure the performance, security, and scalability of the application across the entire stack. ● Write clean, well-documented, and testable code, adhering to best practices and coding standards. ● Participate in code reviews, mentor junior developers, and contribute to architectural discussions. ● Troubleshoot and debug complex issues across the full stack, ensuring a smooth user experience. ● Stay up-to-date with emerging web technologiies and industry trends, advocating for their adoption where appropriate Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Weekend availability Supplemental Pay: Yearly bonus Work Location: In person

Role and Responsibilities This role is responsible for all issues related to buying merchandise and coordinating with vendors for the designated departments. It involves focusing on finding the best resources at the best prices to ensure that product is higher in quality &cost effective for their respective brands. Key deliverables for the position are as following: · To contribute to the development of the divisional Buying and Merchandising strategy and to work within this strategy at all times. · To work with merchandising team to ensure that all deliveries satisfy the assigned purchase orders. · Identify possible future product offerings by conducting thorough research about what customers are looking for next and the technological trends that are coming up. · Plan pricing strategies on various product lines with the marketing department and management and aim to reach an agreement with suppliers that allow for optimal pricing. · Developing and sourcing the right product at the right time to meet customer requirements · Maximizing current sourcing channels and identifying new opportunities · Supporting negotiations and working with supply base to ensure that best costs and margins are achieved · Working closely with Designers on developing styles; design research trips, fabric & print advice and informing best sellers for move-on styles. · Working closely with Merchandising; management of stock, style options, quantities, promotions and markdowns. · Keeping a track of Competitor’s activities through market research activities to track understand trends, forecasting, in terms of color, fabric etc · Product presentation, packaging and Product development and develop promotional plans · Review and adjust the season plans and weekly plans · Product presentation, packaging and Product development and develop promotional plans · Vendor identification and development · Obtaining Range merchandise after effective negotiation · To work with Marketing and Design to develop Visual Merchandising promotions in line with theme and product launches · Ensures timely delivery of samples by vendors · Setting of standards for quality of merchandise with QA · Reconcile to store plans and fix departmental financial plans · Supporting negotiations and working with supply base to ensure that best costs and margins are achieved · Working closely with Merchandising; management of stock, style options, quantities, promotions and markdowns. · To conduct the annual review of supplier performance with QA. · To pursue and recover all money due from vendors as a result of performance penalties or markdown and promotional contributions. · To regularly update the front-end on key product benefits Education – NIFT / Pearl (B. Design / MFM) Exp in Kids - 8-12 years Show more Show less