312 Cataloguing Jobs - Page 3

1. Overseeing the Online Store: Managing the company's online store, ensuring products are accurately listed and categorized. Optimizing the e-commerce platform for an exceptional user experience. Developing and executing digital marketing campaigns to drive traffic and sales. Monitoring and analyzing website traffic and sales data to identify areas for improvement. 2. Marketing and Sales: Developing digital merchandising strategies and executing new product launches. Conducting competitor analysis to identify market trends and opportunities. Creating strategies to increase online sales and customer engagement. Managing the online payment systems and resolving any related issues. 3. Collaboration and Analysis: Collaborating with marketing, sales, and production teams to ensure a seamless online experience. Analyzing sales data and customer behavior to identify trends and areas for improvement. Using tracking tools like Google Analytics to develop reports and optimize performance. 4. Other Key Responsibilities: Managing product portfolios and ensuring content on the company website is current and relevant. Overseeing inventory restocking and coordinating with logistics teams. Ensuring a seamless and positive customer experience throughout the online buying process. Staying up-to-date with industry trends and best practices in e-commerce.

Create/manage e-commerce listings, ensure accuracy, optimize for SEO, update promos, analyze catalog data, resolve issues. Must have Excel skills, platform knowledge (Amazon, Flipkart, etc.), and detail orientation. Share CVs at hr@bcplindia.com.

Brand: Indo Appliances We are looking for an E-commerce Specialist to manage our presence on Amazon, Flipkart, Blinkit, and Shopify. The ideal candidate will handle listings, SEO, ad campaigns, order processing, claims, and performance reporting.

Job Description: At least 6 years of overall experience. 3+ years of relevant hands on development experience as Azure Data Engineering role. Proficient in Azure technologies like ADB, ADF, SQL, PySpark, Python. Hands on in Azure Analytics and DevOps Taking part in Proof of Concepts (POCs) and pilot solutions preparation Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows Experience in business processing mapping of data and analytics solutions At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Account Management Strategic Planning Sales and Revenue Generation Promotions Campaign Management Data Analysis and Reporting Collaboration and Coordination Customer Relationship Management (CRM) Market and Competitor Analysis

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent CommunicationAbility to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric ApproachStrong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & AccountabilityProactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth MindsetWillingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational ExcellenceExperience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & AutomationUnderstanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional CollaborationAbility to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent CommunicationAbility to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric ApproachStrong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & AccountabilityProactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth MindsetWillingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational ExcellenceExperience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & AutomationUnderstanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional CollaborationAbility to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

EKAM, owned by Aromee Brands Pvt. Ltd., is part of the Manipal Group. We are an affordable luxury brand targeting the urban sector, offering lifestyle and self-care products rooted in Indian traditions. EKAM provides luxury scented products that combine international bestselling fragrances with beloved Indian aromas, available through both online and retail channels. All our fragrances are carefully crafted to promote the physical and mental well-being of our customers, helping them feel their best every moment, every day. As we expand our digital presence, we're looking for an experienced Assistant Manager E-commerce to lead and grow our marketplace operations on Amazon & Flipkart. Role Responsibilities: - Manage and scale our presence on Amazon & Flipkart - Handle listings, pricing strategies, promotions, and inventory planning - Launch and monitor ad campaigns on both platforms - Track performance, generate reports, and suggest data-driven improvements - Coordinate with cross-functional teams (catalog, design, operations, etc.) Ideal Candidate: - 3+ years of hands-on experience in Amazon & Flipkart account handling - Working knowledge of ad tools (Sponsored Products, Lightning Deals, etc.) - Strong communication and analytical skills - Self-motivated, with an ownership mindset Willing to work full-time from our Bangalore office

4+ years of experience in category management or merchandising, preferably in jewelry, luxury, or fashion retail. jewelry materials (gold, diamonds, precious stones) and international Excel, ERP systems (e.g., SAP), and merchandising tools.

Role & responsibilities :- Upload product images and manage listings on e-commerce platforms. Write SEO-friendly product titles and descriptions. Set product details including price, stock, SKU, and tags. Ensure accurate product categorization and listing compliance. Coordinate with internal teams for photography, design, and inventory updates. Handle content writing, basic image editing, and listing optimization. Preferred candidate profile :- Experience in e-commerce product listing and catalog management. Strong written English skills for SEO-friendly content writing. Basic knowledge of tools like MS Excel, Google Sheets, or similar. Familiarity with e-commerce platforms (Amazon, Flipkart, Shopify, etc.). Basic image editing skills using Canva, Photoshop, or similar tools. Ability to work collaboratively with teams (design, photography, inventory).

Mount Litera Zee School Wagholi, Pune is looking for Librarian to join our dynamic team and embark on a rewarding career journey. Manage the library's collection, including acquiring and cataloging new materials and removing outdated or damaged items. Develop and implement library policies and procedures, such as circulation rules and access guidelines. Assist library patrons with research, reference questions, and general information needs. Provide instruction and training to patrons on library resources, including online databases and other electronic resources. Supervise library staff, including hiring, training, and scheduling. Develop and maintain relationships with community groups and organizations to promote the library and its resources. Prepare and manage the library's budget, including monitoring expenditures and preparing financial reports. Maintain the library's physical space, ensuring that it is clean, organized, and welcoming to patrons.

St. Xavier's World School is looking for Librarian to join our dynamic team and embark on a rewarding career journey. Manage the library's collection, including acquiring and cataloging new materials and removing outdated or damaged items. Develop and implement library policies and procedures, such as circulation rules and access guidelines. Assist library patrons with research, reference questions, and general information needs. Provide instruction and training to patrons on library resources, including online databases and other electronic resources. Supervise library staff, including hiring, training, and scheduling. Develop and maintain relationships with community groups and organizations to promote the library and its resources. Prepare and manage the library's budget, including monitoring expenditures and preparing financial reports. Maintain the library's physical space, ensuring that it is clean, organized, and welcoming to patrons.

Management Trainee - E-Commerce: This role is responsible for managing theend-to-end ownership of product cataloguing cycles across multiple onlinemarketplaces. Key Deliverables (Essentialfunctions & Responsibilities of the Job) : Manage the complete cataloguing lifecycle across various marketplaces (e.g., Myntra, Flipkart, Amazon, Ajio). Handle listing, updating, and uploading of product specifications and data accurately across platforms. Maintain large seasonal product catalogues with a focus on completeness and consistency. Ensure high-quality, comprehensive, and accurate product content across all online channels. Oversee both individual and bulk listing of new products on e-commerce portals. Troubleshoot catalogue-related issues and contribute to reducing upload errors and turnaround time. Write compelling, clear, and conversion-driven product descriptions. Leverage new techniques and automation tools to improve catalogue creation efficiency. Monitor market trends and platform updates to identify listing or visibility opportunities. Share regular catalogue updates and performance reports with internal and external stakeholders. Key Skills Required Strong proficiencyin MS Excel and handling large datasets. Deep understandingof e-commerce platforms and product listing processes. Hands-on experienceacross the e-commerce operational lifecycle. Strong attention todetail and commitment to data accuracy. Ability to adaptand innovate in a fast-paced digital environment.

Responsibilities: * Manage Amazon account: ecommerce marketing, product listing, FBA, cataloguing, order processing. * Optimize Amazon ads & SEO: PPC, advertising, SEO analysis, strategies. Annual bonus

Manage e-commerce operations across Myntra, Ajio, Tata CLiQ & D2C site. Lead listings, order processing & brand pages. 56 yrs in premium fashion e-comm. Strong in campaign planning, P&L, listing optimization & marketplace coordination.

About the Role: Were looking for a passionate and imaginative Creative Designer / Graphic Designer to join our growing team. If you live and breathe design, think in color palettes, and dream in pixels, we want to hear from you! Youll work closely with our marketing, product, and content teams to bring ideas to life through beautiful and effective visual designs. From branding and campaigns to social media and product graphicsyou'll help us tell compelling stories through design. What You'll Do: Create stunning visual content for digital and print (social media, websites, ads, packaging, presentations, etc.) Collaborate with cross-functional teams to develop design concepts that align with brand strategy Maintain and evolve brand identity across all platforms Participate in brainstorming sessions and contribute creative ideas Stay updated with design trends and tools to keep our content fresh and engaging Ensure consistency and quality across all design output What We’re Looking For: Proven experience as a Graphic Designer, Creative Designer, or similar role Strong portfolio showcasing a range of design work Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign) and/or Figma Solid understanding of design principles, typography, layout, and colour Ability to manage multiple projects and meet deadlines A sharp eye for detail, a creative mind, and a collaborative spirit Bonus Points: Motion graphics, video editing, or 3D design experience UI/UX design knowledge Experience with branding or rebranding projects Basic HTML/CSS knowledge Perks and Benefits No bar for right candidate. Location: Greater Noida West Send your CV to: Hr@sayahomes.in Contact No : 9899080388/9811249263 Be a part of a leading real estate brand and take your career to the next level! Please visit at www.sayahomes.com

Product Cataloging Location: Chennai Job Type: Full-time Job Summary We are seeking meticulous and detail-oriented individuals to join our team as Product Cataloging QA Specialists. In this crucial role, you will be the final human checkpoint in our advanced Generative AI advertising analysis pipeline. Your primary responsibility is to ensure the accuracy of product-to-taxonomy mapping performed by our AI. You will analyze digital ads, manually identify the advertised products, find their correct ID within our product taxonomy, and verify if it matches the AI's conclusion. This position is ideal for someone with a keen eye for detail, strong research skills, and an interest in the intersection of AI and digital marketing. Key Responsibilities Creative Analysis: You will begin by opening the ad creative link (image or video), carefully examining the content to independently identify the specific product or service being advertised. Taxonomy Navigation and Search: Using your understanding of the product, you will search our comprehensive product taxonomy database to find the exact corresponding item and its unique Product ID. Accuracy Confirmation: You will compare the Product ID you identified through your manual search with the Product ID that our GenAI solution has identified. The core of your role is to validate whether the AI's mapping is correct. Data Correction: If the AI-identified Product ID is incorrect, you will update the record with the correct ID that you found, ensuring our database remains highly accurate. Feedback Loop: You will provide valuable feedback to the engineering team on the performance of the AI models, highlighting correct and incorrect matches to help improve their accuracy over time. Required Skills and Qualifications Exceptional Attention to Detail: You must be able to spot subtle product differences and inconsistencies. Strong Analytical and Research Skills: The ability to quickly understand an advertisement and efficiently search a large database/taxonomy to find specific information is essential. Logical Thinker: You need to be able to navigate a structured taxonomy and make accurate judgments based on product attributes. Digital Literacy: You should be comfortable navigating various social media platforms and websites. Self-Motivated: You need to be able to work independently and manage your time effectively to meet quality and productivity targets. Excellent Communication: Clear and concise communication skills are necessary for providing feedback. Preferred Qualifications Previous experience in product cataloging, e-commerce merchandising, or quality assurance (QA) in the field of product cataloging, e-commerce merchandising. Experience working with large databases, taxonomies, or product information management (PIM) systems. Familiarity with digital advertising and marketing concepts. Basic understanding of how AI and machine learning systems work. Salary-3.5LPA Max Immediate joiners only Day shift No cabs provided DLF Park, Poru r Chennai Immediate joiners please call HR- 9108530925 OR email to prathiksha.l@alpconsulting.in

Role : Catalogue Process Exp : 1 years Loc : Chennai & Pondichery Package : 3LPA Qua : Any UG Shift : Day shift(10:00Am to 7:00PM) Industry : E-commerce Regards Bhuvana 9150760085

Junior Breeder - Corn Collection, cataloguing and conservation of germplasm Development of superior lines with traits of commercial importance Work closely with the Technology Deployment Team for Trait Introgression for commercially important traits using Marker Assisted Selections ( MAS) Development of superior hybrids suitable for different market segments Coordinate with testing teams for conduct of different stage trials in the targeted environments Data management for LDB program and trials Statistical analysis for decision making for product advancements Coordinate with all stakeholders for commercialization of hybrids Seed chain management for commercial and pre-commercial hybrids Liasion with National & International Institutions We need someone with at least 5-6 years experience in Corn breeding Qualification : Ph.D / M.Sc(Ag) - Plant Breeding & Genetics or M.Sc (Botany/Biotechnology) with 7-8 years of experience

Job Requirements Roles & Responsibilities: Material Cataloguing / Review and provide recommendation Inventory Optimization, wherever required. Prepare & execute Bill of Material for Oil and Gas Equipment Prepare Asset Register. Work Experience Required Skills (Technical Competency): 1 to 5 years of Experience in oil & gas plant. Review and evaluation of EPL/RSPL (Equipment part list / Recommended spare parts list) for Commissioning Start-up & Life Cycle Operating spares. Review P&ID, SLD & Flow diagram. Experience in Bill of material. Good Knowledge in Cataloguing and Procurement. Good Knowledge in Taxonomy development. Good Knowledge in Procurement cycle. Good Knowledge in Drilling/OCTG spares. Good Knowledge in Inventory Optimization. Handle Ad hoc task individual. Review and Preparation of Bill of Materials, PO Text by extracting all the necessary technical information from the drawings (datasheet, manual, catalog, etc. . . ) Fair work experience on Excel and other MS applications. Desired Skills: Material Maintenance in Oil & Gas domain. Good experience in MS Office.

Responsible for overseeing and managing a company's online sales and presence. It involves strategic planning, marketing, sales optimization,& ensuring a smooth customer experience on the company's website and online platforms. Call on 9599191170

We have an opening for Head of the Graphic designer having minimum experience of 2 years in graphic designing. We are a manufacturing company of Veterinary medicines, Head office based in Mumbai. Also, we are 100% EOU. Job Description:- 1. Creative Graphic Designer with experience in both print media and digital media. 2. Take direction from written or spoken ideas and convert them seamlessly into images, layouts and other designs. 3. Create graphics for product packaging - Sticker, Box, Blister ( according to mock up file ), Foil and Leaflet. 4. Create designs like Brochure, Poster, Flyer, Social Media post, Hoarding, Standee etc. 5. Review designs for errors before printing or publishing. 6. Basic Knowledge of colors, font style and layout. 7. Work within brand guidelines to create layouts that reinforce the brands style 8. Coordinating with the printer to get products printed. 9. Ability to understand and implement the latest creative trends Software Skills Required:- - Coral Draw - Photoshop - Print media Skills not mandate but preferred: - Video maker - GIF Files - 3D Animation If you are looking for a change, please let us have your updated CV for the same on hr@aarambhlifescience.com or WhatsApp on 90822 34914 Also, if any of your colleagues or friends are looking to take new opportunities, please do let us know. Why join us? - Our 80% staff is ladies - Office is walkable distance to station - On time salary - Pharma Export company - Reasonable increments

Role & responsibilities Product Cataloging QA Specialist Location: Chennai Job Type: Full-time Job Summary We are seeking meticulous and detail-oriented individuals to join our team as Product Cataloging QA Specialists. In this crucial role, you will be the final human checkpoint in our advanced Generative AI advertising analysis pipeline. Your primary responsibility is to ensure the accuracy of product-to-taxonomy mapping performed by our AI. You will analyze digital ads, manually identify the advertised products, find their correct ID within our product taxonomy, and verify if it matches the AI's conclusion. This position is ideal for someone with a keen eye for detail, strong research skills, and an interest in the intersection of AI and digital marketing. Key Responsibilities Creative Analysis: You will begin by opening the ad creative link (image or video), carefully examining the content to independently identify the specific product or service being advertised. Taxonomy Navigation and Search: Using your understanding of the product, you will search our comprehensive product taxonomy database to find the exact corresponding item and its unique Product ID. Accuracy Confirmation: You will compare the Product ID you identified through your manual search with the Product ID that our GenAI solution has identified. The core of your role is to validate whether the AI's mapping is correct. Data Correction: If the AI-identified Product ID is incorrect, you will update the record with the correct ID that you found, ensuring our database remains highly accurate. Feedback Loop: You will provide valuable feedback to the engineering team on the performance of the AI models, highlighting correct and incorrect matches to help improve their accuracy over time. Required Skills and Qualifications Exceptional Attention to Detail: You must be able to spot subtle product differences and inconsistencies. Strong Analytical and Research Skills: The ability to quickly understand an advertisement and efficiently search a large database/taxonomy to find specific information is essential. Logical Thinker: You need to be able to navigate a structured taxonomy and make accurate judgments based on product attributes. Digital Literacy: You should be comfortable navigating various social media platforms and websites. Self-Motivated: You need to be able to work independently and manage your time effectively to meet quality and productivity targets. Excellent Communication: Clear and concise communication skills are necessary for providing feedback. Preferred Qualifications Previous experience in product cataloging, e-commerce merchandising, or quality assurance (QA) in the field of product cataloging, e-commerce merchandising. Experience working with large databases, taxonomies, or product information management (PIM) systems. Familiarity with digital advertising and marketing concepts. Basic understanding of how AI and machine learning systems work.

Profile: E-Commerce Assistant You will play a pivotal role in optimising our online business operations and delivering exceptional customer service. As an e-commerce executive, you will maintain all our sales touchpoints website, online marketplaces, and aggregators and oversee online sales, manage stock inventories, and optimise the overall customer experience. Objectives of this role Develop and implement effective e-commerce growth strategies to identify and capture new customer base and business opportunities. Manage and maintain e-commerce platforms, including product listings, pricing and inventory management. Enhance customer experience by working closely with other departments, such as marketing, content and customer service. Conduct market research and analysis to identify potential prospects, conduct outreach to drive sales. Analyse data and generate reports to track e-commerce performance, identify trends and make data-driven recommendations for improvement. Collaborate with cross-functional teams to execute online campaigns and promotions to attract leads. REQUIREMENTS Educational Criteria Minimum Qualification Bachelor’s Degree : first class throughout (60% minimum) Business Administration (BBA) or Management : Provides a solid foundation in sales, marketing, and customer service. Marketing : Ideal for understanding the core principles of digital marketing and sales strategies. Commerce (B. Com) : Strong foundation in business, finance, and operations, which is helpful in eCommerce sales. Information Technology or Computer Science : In cases where understanding eCommerce platforms, websites, and digital tools is essential. Economics : Helps in understanding market demand, pricing strategies, and customer behaviour. Certifications Digital Marketing Certifications : From platforms like Google, HubSpot, or Coursera, focusing on SEO, SEM etc., eCommerce Platform Training/certifications : Familiarity with ecommerce platforms like amazon, Shopify, or Magento . Experience with Online Education Online courses, workshops, or training related to eCommerce, sales platforms. Excel Skills: We will test the excel skills and suggest providing a training to the freshers for learning the required formulas. 1. Good Communication Skills Verbal & Written: Listening Skills: 2. Tech-Savvy Familiarity with eCommerce Platforms : Basic knowledge of popular eCommerce platforms like Shopify, Magento, Amazon, or WooCommerce is a plus. Passion for Ecommerce -Sales : Genuine interest in the sales process and enthusiasm to sell and drive results.

Create/manage e-commerce listings, ensure accuracy, optimize for SEO, update promos, analyze catalog data, resolve issues. Must have Excel skills, platform knowledge (Amazon, Flipkart, etc.), and detail orientation. Share CVs at hr@bcplindia.com.