4625 Synthesize Jobs - Page 10

Role : Business Analyst/ Sr Business Analyst Skill : BRD, PDD, Requirement Elicitation Mode : Hybrid Experience : 2-7years Job Location : Bangalore Educational Qualification : Bachelor's Degree Computer Science, a related field, or equivalent experience (Master's degree is a plus). Job Overview: As a Business Analyst at IQVIA, you will be key medium between the Product Owner and Dev QA teams who are all geared towards growth and development of a (or multiple) offerings within IQVIA's Orchestrated Analytics platform. With your innovative analyst mindset and client needs in mind, you will work closely with many cross functional teams across multiple geographies and communicate and articulate product requirements very clearly. We expect you to be a critical thinker, analyze problems, ideate, have strong documentation skills, effective listener, presenter and communicator. Roles & Responsibilities: Work closely with Product Owner communicate requirements to Dev / QA teams to detailed requirements Translates product roadmap features into product requirements including features, user stories and acceptance test criteria. Assists in supporting the product vision, roadmap and growth opportunities. Analyzes data for insights and collaborates with partner teams. Acts as product expert for users and provide solutions to use cases. Participate in acceptance testing Monitors and evaluates product progress and recommend improvements. Supports in mitigating impediments to ensures successful completion of Release/Sprint Goals. Utilizes domain knowledge to be able to effectively synthesize input from multiple stakeholders to maximize delivered value. Serves as customer proxy for development teams. Tracks commitments and customer expectations. Skills & Abilities: Experience in business intelligence and data visualization Proven experience as a Business Analyst or in a related role. Strong analytical, problem-solving, and critical-thinking skills. Excellent communication and interpersonal abilities. Proficiency in requirement gathering techniques, process modeling, and documentation. Familiarity with project management methodologies and software development lifecycle. Ability to collaborate effectively with cross-functional teams and teams across multiple regions Knowledge of relevant tools such as Microsoft Visio, JIRA, Confluence, etc. Other Attributes: Excellent analytical and problem-solving abilities. Must have strong verbal, written communication, and presentation skills. High attention to detail and a commitment to delivering high-quality work

Location : Bangalore Hybrid 6 months (extendable) About The Role We are looking for a Product Designer who is passionate about the discovery phase of design. You’ll dig into user problems, run research activities, and ensure solutions are rooted in real-world needs. What You’ll Do Conduct user interviews, usability tests, and contextual research. Synthesize findings into problem statements and opportunities. Facilitate discovery workshops with product and engineering partners. Explore multiple design directions before converging on solutions. Advocate for continuous learning and iteration in design. What We’re Looking For 3–5 years of product design experience with research exposure. Strong understanding of research methods and synthesis practices. Portfolio showing research-led product outcomes. Ability to collaborate with researchers and data teams. Strong facilitation and storytelling skills. Why Join Us This role gives you the opportunity to influence product direction early. You’ll ensure we’re solving the right problems before committing to solutions. Skills: b2c,contextual research,product design,research

Country / Office: India – Chennai / Koch i Date: Sep 2025 Functional Group: Enabling Functions Position: Executive Assistant Job Level: Senior Executive Reports to: Managing Director Next Level: Assistant Manager ABOUT US EKK Infrastructure is an Engineering, Procurement and Construction (EPC) company with a strong footprint in roads and highways execution, known for disciplined delivery, safety and quality across multisite projects. With leadership based in Chennai and operations across South India, EKK is scaling governance and exploring diversification into building construction and select infrastructure adjacencies. ABOUT THIS OPPORTUNITY We are seeking a high energy, detail oriented Executive Assistant (EA) to the Managing Director (MD). This role acts as the MD’s operational righthand—owning calendars, governance cadence, communication, and follow through—while coordinating with Projects, Contracts, Finance, HR and site teams to ensure priorities are executed on time. The ideal candidate understands an EPC environment, thrives in a fast paced setting, and communicates crisply with senior stakeholders, clients and government agencies. WHAT IS EXPECTED OF YOU? As the EA to the MD, your key responsibilities will include:  Calendar, Gatekeeping & Briefing – Manage complex calendars; prioritize requests; prepare daily briefs and talking points; ensure the MD is prepared for internal/external meetings.  Leadership Reviews & Governance – Plan weekly/monthly reviews; publish agendas; capture MoMs; maintain action trackers/OKRs; drive closure with accountable owners across offices and sites.  Project & Site Coordination – Consolidate site MIS (progress, safety, quality, cash, risks); flag delays/variances; coordinate site visits, permits and logistics; escalate critical issues with data.  Tendering & Contracts Support – Maintain bid calendar; prepare pre bid checklists; coordinate documentation with Estimation/Contracts; support claims/letters and follow ups with clients/consultants.  Client & Government Correspondence – Draft letters/emails to NHAI/PWD/PMC and vendors; schedule key meetings; track commitments and compliance submissions.  Executive Communication & Decks – Create high impact presentations, dashboards and board packs; synthesize complex updates into crisp narratives for internal/external stakeholders.  Data, Tools & Documentation – Advanced Excel (pivots/lookups), strong PowerPoint/Word; familiarity with project controls tools (e.g., MS Project/Primavera) and DMS/SharePoint/ERP workflows.  Travel & Logistics – Plan domestic travel, site itineraries and reimbursements; coordinate visitor management and MD led events/townhalls.  Confidentiality & Compliance – Handle sensitive information with discretion; ensure adherence to company policies, approvals and statutory timelines.  Special Initiatives – Assist the MD on timebound projects (transitions, PMO sprints, process improvements, audits) with measurable outcomes. IN ORDER TO BE SUCCESSFUL IN THIS ROLE – YOU MUST  Be proactive, anticipate needs and take ownership—closing loops without constant supervision.  Demonstrate meticulous attention to detail with strong planning, prioritization and follow through.  Communicate crisply and respectfully across blue and white collar stakeholders; maintain diplomacy under pressure.  Be data driven and solution oriented—convert ambiguity into structured plans and measurable outcomes.  Model EKK’s culture of safety, integrity, accountability and speed of execution. KEY PERFORMANCE METRICS  Leadership Cadence: % of planned reviews held on time; agenda/MoM quality; action closure rate within SLA.  Project Visibility: Timeliness/accuracy of weekly MIS; early warning flags raised; recovery plans tracked.  Communication Quality: Clarity and turnaround time of decks, letters and briefs; stakeholder satisfaction (MD/leadership feedback).  Bid/Contract Support: Adherence to bid calendar and submission checklists; documentation accuracy; claim/letter cycle times.  Logistics & Travel: Ontime travel planning, cost control and reimbursement accuracy.  Confidentiality & Compliance: Zero breaches; on time statutory/board document handling. WHY EKK? • High impact proximity to decision making with the Managing Director and leadership team. • Exposure to multisite EPC operations (roads/highways) and diversification into buildings/infra-adjacencies. • Meritocratic environment with learning, growth and a potential pathway to PMO/Chief of Staff roles. • Opportunity to shape governance, rhythm and communication standards across the company. DISCLAIMER EKK Infrastructure is an equal opportunity employer and values diversity and inclusion. We foster a high performance, safety first culture and provide opportunities for employees to learn, grow and take on larger responsibilities across locations.

Years of Experience: 2-6 years Department: Integrated Solutions Primary Purpose: Responsible for emerging with digital strategies keeping in mind current strategy research, content, ideation and applications on the basis of objectives. Major Responsibilities: Act as the main point of contact in all matters relating to client concerns and needs Maintain accurate client records, keeping track of finances on the brand Synthesize information and communicate with various teams and be highly organized, whilst optimist systems and processes Brainstorming and contributing to the Account Team's efforts on brand communication/strategy for the client Sharing creative input on ideas and campaigns Monthly/ Weekly report to the Management/ Client regarding the account's activities Daily research along with the junior strategist regarding social media platform updates and trends and synthesize them to use in creative ideation with the design and creative teams Intermediate Excel/ Google Suite and Presentation making skills are a must. Presenting ideas to the clients effectively with minimal supervision from senior management. Experience of working on monthly social media calendars for brands. Experience of working on ORM/social media listening for your brands.

We’re a fast-growing SaaS startup on a mission to redefine how businesses manage and streamline their operations. As a Product Owner , you’ll play a key role in shaping the future of our platform by turning big ideas into actionable product features that deliver real value to our customers. If you thrive at the intersection of product, engineering, and customer success—and know how to turn complex requirements into simple, actionable stories—this role is for you. As a key member of our product team, you’ll own modules end-to-end, from discovery to delivery. You’ll drive clarity and structure, collaborating closely with developers, QA, design, and stakeholders to ensure every feature adds value and meets our high standards of execution. This is a high-impact role for someone who thrives in fast-paced SaaS environments and wants to take ownership of delivering real business outcomes. Responsibilities Own one or more product modules end-to-end, from requirement gathering through delivery and iteration Translate business needs and customer feedback into clear user stories, workflows, and structured documentation Collaborating closely with tech leads and holding developers, designers, and QA accountable for timely, high-quality delivery Lead sprint ceremonies, including planning, backlog grooming, and daily syncs Work with internal stakeholders and customers to define custom features, integrations, and business logic Drive UAT, feedback collection, and iterative improvements post-launch Balance product goals with technical constraints and timelines, ensuring smart trade-offs Partner with cross-functional teams to improve usability, compliance, and long-term product scalability Act as the voice of the product and advocate for quality, timelines, and user value in every conversation Requirements 4–6 years of experience as a Business Analyst in SaaS or technical product environments 2–3 years of hands-on experience as a Product Owner or in end-to-end product lifecycle management Strong documentation and story-writing skills with proven success collaborating with engineering and QA Experience using Agile tools such as JIRA, ClickUp and Visio Excellent communication and stakeholder management skills—able to synthesize inputs from technical and non-technical teams Ownership mindset with the ability to hold others accountable to timelines and outcomes Strong analytical and problem-solving skills with attention to detail and user impact Flexibility to work with partial U.S. time zone overlap for cross-team collaboration Experience in the US fintech domain or compliance-heavy industries is a plus Good to have familiarity with third-party integrations, and client-facing platform features

Summary Position Summary Job Title Global Tax & Legal Office Hyderabad – Knowledge Management Assistant Manager Preferred Level Assistant Manager – Level 4 Business Unit Global Tax & Legal Office, Hyderabad (GTLO-H) About GTLO-H Tax teams today face increasingly complex tax requirements, leaner teams, and growing expectations from the C-suite. Deloitte Global Tax & Legal (GTL) deploys the right team of experts to address the ever-evolving needs of our businesses around the world. Our professionals deliver superior compliance and advisory insights and guidance (local and global) to support our businesses operating in singular or multiple jurisdictions. What You’ll Do As an Assistant Manager in the GTLO-H Knowledge Management team, you will play a key role in executing and implementing business-critical knowledge management (KM) projects and initiatives. You’ll collaborate with GTL Knowledge Managers, GTKM Delivery Leads, Service Line Leads and Enabling Teams to drive cross-functional alignment, deliver actionable analytics, and support the practical adoption of GenAI technologies. Your hands-on approach will enable effective knowledge capture, sharing, and continuous improvement across the Global Tax & Legal organization. Responsibilities: Plan and deliver KM projects with cross-team collaboration, ensuring objectives and timelines are met and driving strategic alignment and organizational impact. Oversee KM systems and tools for effective information capture, sharing, findability, reliability, and interoperability. Drive continuous improvement in content quality, governance, and lifecycle management through data-driven insights and collaboration with stakeholders, ensuring the accuracy, relevancy, and timeliness of all content in alignment with the Knowledge Management (KM) governance framework and in compliance with GT&L quality and risk standards. Manage stakeholder relationships to gather feedback and continuously improve KM processes and deliverables. Familiarity with UI/UX design principles, experienced in creating mock-up designs, and skilled in collaborating with teams to drive those designs to completion. Proactively manage projects, communicate status, identify risks, resolve issues, and ensure alignment with organizational priorities. Leverage technology and implement innovative solutions to address customer challenges, enhance efficiency and effectiveness of content processes, and drive business results. Prepare and present reports on team operations, project status, and service outcomes. Monitor key performance indicators and metrics to measure the impact and value of knowledge management initiatives and activities in support of content strategy. Use foundational Power BI and Power Automate capabilities alongside analytics to support enhancements in KM processes and tools. Foundational knowledge of GenAI concepts, with the ability to explain high-level solution architectures (e.g., RAG) and model capabilities to stakeholders. Coach and mentor team members, fostering growth, expertise, and high performance. Qualifications, experience, work location, and timing: Academic qualification: Bachelor’s degree Minimum 5+ years of content management experience Location: Hyderabad Work hours: 11:00 AM – 8:00 PM Basic understanding of Global Tax & Legal and business-specific platforms Basic knowledge of various KX products and usage of the tools Strong knowledge of content management platforms such as SharePoint; Sitecore is a plus Knowledge of content management lifecycle, client confidentiality, taxonomy, search, and content archival policy Strong technical skills in MS Office Suite – Word, PowerPoint, Excel Familiarity with GenAI technologies and their application in KM Strong project management and customer relationship management skills Ability to proactively identify project issues and risks with an ability to prioritize team workload and respond to deadlines Effective verbal and written communication skills Ability to drive projects/initiatives independently with minimal supervision Ability to interact seamlessly with stakeholders, practitioners, and supporting roles across geographies, especially the US Demonstrate advanced analytical, problem-solving, and critical thinking abilities to quickly structure, organize, and synthesize qualitative and quantitative data, delivering actionable reporting and strategic insights Continuous improvement mindset, leveraging feedback and analytics to optimize KM processes and systems Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 311411

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description As a critical member of the Value-Added Services division within the Issuing Solutions Product organization, this role will be responsible for The ongoing product development and expansion of the GCAS Travel and Digital suite of products which power personalized cardholder communications, for both Visa and our card issuer clients globally. This role involves spearheading the development of new features, improving existing ones, and ensuring the overall functionality of the product. Key activities include: Leading the product effort to build and manage our roadmap and backlog. Defining business requirements and translating them into product features. Working closely with the development teams to find solutions around challenges. Overseeing the validation and user acceptance testing of new functionality. Managing the agile development process, facilitating meetings, and addressing obstacles. Acting as the subject matter expert and liaison between US product and Bangalore development teams. Responsibilities: Strategic Product Development: Translate product strategy into detailed and actionable product development efforts for GCAS and Travel suite of products. Process Improvement: Establish, document, and refine development and operational processes for the product. Product Engagements: Lead close collaboration with project management and operations to ensure product development tasks are completed on agreed deadlines. Operational Activities: Collaborate with business and technology teams to ensure the systems are operating as expected, resolving issues, and coordinating activities. Product Requirements: Evaluate market demands and lead the development of detailed product requirements, specifications and enhancements. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Strong leadership, verbal, written, and presentation skills. Proficiency in Microsoft Office/CRM, Visio, PowerPoint, tools like Jira/Rally Strong attention to detail. Strong project and stakeholder management skills Ability to self start with minimal supervision High level of comfort with data, files, and technical communication. Collaborative working style. Experience in Agile development Strong data and analytical skills , working knowledge of Excel , Powerpoint and MicroStrategy or Tableau is preferred. Strategic Product Development: Translate product strategy into detailed and actionable product development efforts for GCAS and Travel suite of products. Technical Expertise: Deep understanding of the latest technologies and how they can be leveraged to improve the product. This includes APIs, SDKs, Platform integrations, UI/UX, Mobile/ Web concepts. Negotiation Skills: Strong negotiation skills with the ability to resolve conflicts and ensure team collaboration. Risk Management: Ability to identify potential risks and devise strategies to mitigate them Ability to work independently and with broad instructions. Good understanding of AI, Gen AI, machine learning, big data, and cloud computing. Expert knowledge of payments , transaction processing and building out banking experiences . Preferred Qualifications: Ability to synthesize complex ideas and passion for developing clear, effective, and compelling presentations. Deep understanding of consumer engagement and automation technology. Motivated to understand the evolving industry context and Visa. Strategic Thinking: Ability to think strategically and foresee market trends and customer needs. Adaptable to different work and projects. Regulatory Knowledge: Understanding of international software regulations and compliance standards. International Experience: Proven experience working in an international setting and managing products across different markets. ( This role is global in scope ) Familiarity with global market trends and customer needs. Multicultural Competence: Ability to work with diverse teams and understand cultural nuances. Experience in building products for different cultural contexts. Leadership: Strong leadership skills with a proven track record in leading cross-functional teams to drive product development and management. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Bangalore, Karnataka, India Job Overview: Workday Learning Analyst will work directly with internal stakeholders to design, develop, deploy, and maintain learning campaigns and associated reports to ensure company compliance. Job Description: Set up and maintain the Workday Learning module, including creating and managing learning content (courses, lessons, programs), scheduling learning campaigns, and managing user access. Stay up to date on new features in Workday Learning, including biannual releases. Develop test cases for Workday Learning updates, upgrades, and enhancements, as well as troubleshooting user issues and system errors. Partner with the HRIS team on system integrations with third party content providers. Providing support to users on the Workday Learning module, including training materials, documentation, and troubleshooting assistance. Manage learning data within Workday, ensuring data accuracy and generating reports to track learning progress and effectiveness. Monitor assignment, enrollment and completion of compliance courses for new joiners as well as annual learners. Ensure data privacy and integrity at all times. Skills / Knowledge: Strong knowledge of the Workday Learning module, including its configuration, functionality, and best practices Solid understanding of HR systems, functions, processes, and advanced reporting environments Analytical skills and ability to synthesize change quickly using subject and process knowledge. Independent problem solving – ability to articulate issues across projects and the business. Desire to learn new tools and think creatively. Attention to detail, strong organization skills, ability to multitask Highly proficient with Excel and other Office products Ability to maintain a high degree of confidentiality Excellent oral and written communication skills Comfortable with ambiguity Highly flexible, able to transition from one task to the next as priorities change Detail oriented Experience: 3+ years of experience with Workday Learning and core HCM 2+ year of experience with Workday Custom Report writing (Advanced, Matrix, Composite, RaaS, etc.) including the development of complex calculated fields Preferred experience with Workday PRISM Preferred Workday Certified Report Writer Perks and Benefits Health & Wellness Dental Insurance Vision Insurance Health Insurance Life Insurance Paid Time Off PTO / Vacation Policy Paid Holidays Financial Benefits 401K / Retirement Plan Employee Stock Purchase Plan Tuition Reimbursement Office Perks Work From Home Policy

DESCRIPTION At Amazon, we strive to be Earth's most customer-centric company where people can discover virtually anything they want online. Our evolution from website to e-commerce partner to development platform is driven by the spirit of innovation that is part of our DNA. Join our APAC AMET compensation team where you'll shape compensation strategies for one of the world's most innovative companies. You'll have the opportunity to: Drive impactful compensation programs across multiple markets Partner with senior leaders to develop creative solutions for complex compensation challenges Lead strategic initiatives that directly influence our ability to attract and retain top talent Work in a fast-paced, data-driven environment that values innovation and ownership Key job responsibilities You'll have opportunities to: Partner with global teams on innovative compensation solutions Drive strategic initiatives that impact thousands of employees Develop deep expertise in international markets and compensation practices Build influential relationships across all levels of the organization This role will be based out of Bengaluru, India BASIC QUALIFICATIONS A Bachelor's degree is required. Graduate degree preferred. Overall experience of 8 – 10 years, in finance, compensation, or consulting with an in-depth knowledge of core compensation terminology and best practices. Deep compensation knowledge required, including understanding of APAC AMET compensation practices and regulations. Fluency in English. Strong written and verbal communication abilities, including the ability to listen, synthesize ideas, and explain complex issues clearly and succinctly to various audiences. The ability to work independently, take on responsibility, and be nimble in a fast-paced, change-oriented environment. Ability to work effectively with all levels of employees within the organization. Strong Excel and analytics skills. PREFERRED QUALIFICATIONS Strong problem solving, communication, and presentation skills. The ideal candidate will be well organized and confident to work independently but will be a strong team player. Ability to create dynamic tools and models to interpret and analyze data. Ability to connect disparate data sources and operationalize tasks. Comfortable with large data sets. Highly analytical and quantitative skills and detail-driven with emphasis on accuracy, coupled with the ability to see the broader picture. Experience enhancing and/or implementing compensation systems and reporting tools. Proficiency in Excel Macros; familiarity with SQL, Power BI, Power Pivot and Tableau experience is preferred. Proficiency in writing clear narratives that effectively translate concepts, decisions, and data insights while adapting communication style appropriately for different stakeholders. 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.

Associate Researcher About the role Are you passionate about uncovering insights, analyzing trends, and translating research into actionable strategies? As an Associate Researcher , you will play a key role in driving knowledge creation across diverse industries. From conducting in-depth research and data analysis to preparing high-quality reports and briefs, this role is designed for someone who thrives in a fast-paced environment and has a strong foundation in research writing and critical analysis. This is the perfect opportunity for early-career professionals who enjoy problem-solving, have a sharp eye for detail, and are eager to make an impact through evidence-based insights. What You'll Do Research & Analysis Conduct secondary and primary research across sectors such as policy, business, technology, finance, and more. Collect, analyze, and synthesize qualitative and quantitative data to generate meaningful insights. Track industry trends, emerging issues, and competitive landscapes. Prepare structured reports, briefing notes, white papers, and research articles with strong analytical depth. Ensure accuracy, relevance, and credibility of all research outputs. Writing & Documentation Draft clear, well-structured research content tailored for internal stakeholders, clients, and external publications. Support the development of proposals, research frameworks, and concept notes. Maintain high standards of writing with proper referencing, fact-checking, and data integrity. Work closely with senior researchers, consultants, and project teams to support ongoing assignments. Contribute research insights to strategic initiatives, business development efforts, and client projects. Engage with knowledge databases, journals, and industry reports to enrich project outputs. Manage timelines effectively and deliver multiple projects under tight deadlines What We're Looking For 0–3 years of relevant experience in research, analysis, or academic/industry writing. A degree in Political Science, Economics, Business, Public Policy, Communications, or related fields . Strong research, analytical, and writing skills with high attention to detail. Ability to interpret and present data in a clear, concise manner. Familiarity with research tools, academic databases, and industry sources. Proactive and self-driven, with the ability to work both independently and collaboratively. Excellent organizational and time-management skills to handle multiple projects simultaneously.

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Business Requirements Analysis Good to have skills : NA Minimum 2 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Job Description: The Business Analyst will support data projects by gathering requirements and ensuring solutions align with business objectives. Key Responsibilities: - Gather and document business requirements for analytics projects. - Work with the data team to ensure deliverables meet business needs. - Assist in creating reports and presentations for stakeholders. - Identify opportunities for process improvements. - Gather and document business requirements for data and analytics projects. - Work with stakeholders to identify opportunities for process improvement. - Support the design and implementation of data solutions. - Assist in developing training materials and documentation for end-users. - Monitor project progress and report updates to stakeholders. Qualifications: - Bachelor's degree in Business Administration, Data Science, or a related field. - 2-4 years of experience as a Business Analyst. - Strong skills in documentation, stakeholder management, and communication. - Basic understanding of data visualization tools (e.g., Power BI, Tableau)., 15 years full time education

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : SAP CO Management Accounting Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. You will assess the current state, identify customer requirements, and define the future state and/or business solution. Research, gather, and synthesize information to drive business decisions. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Develop and maintain business process models. - Collaborate with stakeholders to gather and analyze business requirements. - Conduct gap analysis and recommend solutions. - Facilitate workshops and meetings to drive project progress. - Prepare documentation and reports for project stakeholders. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP CO Product Cost Controlling. - Strong understanding of financial analysis and cost controlling principles. - Experience in SAP CO module configuration and implementation. - Knowledge of SAP integration with other modules. - Hands-on experience in conducting cost variance analysis. Additional Information: - The candidate should have a minimum of 3 years of experience in SAP CO Product Cost Controlling. - This position is based at our Indore office. - A 15 years full-time education is required., 15 years full time education

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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: A3077481

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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: A3077478

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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: A3077502

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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: A3077507

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. Note: This is a Fixed Term Contractual Role 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+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. 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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* 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: A3077492

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary We are seeking a visionary Senior Product Manager to lead the evolution of our WiFi connectivity experiences. This role will focus on developing intelligent networking solutions that proactively optimize performance based on user activity—whether it's work, play, or streaming. You will help shape the future of WiFi by building experiences in the Xfinity app that integrate next-generation standards (WiFi 7, WiFi 8), support new hardware, and leverage cutting-edge technologies from recent acquisitions. Your work will enable seamless, personalized connectivity and deliver proactive experiences that ensure every stream, game, or video call stays smooth. We're looking for a leader who embodies the following qualities: Job Description A product pro. You know how to identify customer needs, determine problems to solve, and translate them to feature requirements that become user stories in a prioritized product backlog. You work cross-functionally with your design and engineering partners, providing clear direction on the “what” and “why” but giving them a strong voice to define the “how”. You consider how to measure the impact and success of your features and use that data to inform what you build next. A customer-centric, data-driven strategist. You keep the customer at the center of what you do. You take time to understand the customer and market by digging into the data, research, and talking to breathing, living customers. You synthesize this info to define core customer needs, problems to solve, and solutions to build. Action- and execution-oriented. You aren’t afraid to ask questions in a room with many people to get to the information you need. You can negotiate an array of constraints, guidelines, and business rules as you define your experience requirements…all without sacrificing what’s right for the customers. You know how to roll with the punches, find the path forward as the landscape changes, clearly communicate, and bring all impacted partners along with you. A relationship builder. You know that relationships drive your ability to succeed. You understand the value of listening first, then talking; of giving consistently and receiving occasionally. You’ve seen how strong cross-team collaboration and partnership yields the best outcomes. Core Responsibilities Define product requirements for new products, features, and use cases; define acceptance criteria for each Own development across the entire product lifecycle phases – product discovery, definition, development, delivery, deployment, and optimization. Coordinate closely with engineering and program leads to ensure alignment between technical, business, and field teams on product features and releases. Keep up to date on the technology and market trends; identifies and evaluates new product ideas or strategic product extensions Contribute to the product vision across the team and the organization. Collaborate with cross-functional teams and partners to define and lead product roadmaps and to deliver on them. Work with engineering to prioritize and groom the backlog and assist in sprint planning Keep track of product performance through data collection and analysis; build and maintain dashboards to maintain product use and performance. Drive the evolution of WiFi testing tools, incorporating new functionalities and supporting next-generation WiFi standards (WiFi 7, WiFi 8). Collaborate with hardware teams to integrate new devices and ensure compatibility with advanced WiFi technologies. Lead initiatives to develop intelligent WiFi experiences that proactively optimize connectivity based on user activity (e.g., work, play, stream). Utilize cutting-edge technologies acquired through recent acquisitions to enhance customer insights and deliver personalized, real-time network optimizations. Champion the development of proactive connectivity features such as device health alerts and activity-based performance tuning. Preferred Requirements Below is our list of preferred qualifications. We know that people with different skills and experiences can be successful in this role as well. For that reason, it is not necessary that you possess all these traits. If you are missing a few, please apply anyway. 3-5 years in product management or product marketing roles. Digital background working on consumer-facing mobile apps Ability to lead end-to-end deliveries of high-quality products and experiences leveraging agile product development and experimentation. Ability to perform within a closely-knit team and improve the execution of your teammates. Data literate and comfortable with data analysis A self-motivated & quick learner ready to dig in Knowledge of wireless technologies such as WiFi is a plus Bachelor Degree or equivalent business experience Generally requires 3-5 years related work experience. We would also love to hear your explanation as to why your unique experience would make the team more successful; if you don’t quite fit the mold, apply anyway. Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 10 Years +

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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). 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 HYD 16 SEZ - H83 Job ID: A3077475

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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). 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 HYD 16 SEZ - H83 Job ID: A3077506

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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). 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 HYD 16 SEZ - H83 Job ID: A3077501

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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). 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 HYD 16 SEZ - H83 Job ID: A3077476

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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). 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 HYD 16 SEZ - H83 Job ID: A3077480

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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). 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 HYD 16 SEZ - H83 Job ID: A3077495

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 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 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). 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 HYD 16 SEZ - H83 Job ID: A3077494