Experience requirement:Must Have’s3+ years of experience in product data management, content management, or a similar role, preferably within an e-commerce or retail environment.Proven experience working with PIM (Product Information Management) systems (e.g., Akeneo, Salsify, Riversand) and/or e-commerce platforms (e.g., Shopify, Magento, Commerce Cloud).Strong proficiency in Microsoft Excel (VLOOKUP, pivot tables, data cleaning functions) and also
Experience requirement:Must Have’s3+ years of experience in product data management, content management, or a similar role, preferably within an e-commerce or retail environment.Proven experience working with PIM (Product Information Management) systems (e.g., Akeneo, Salsify, Riversand) and/or e-commerce platforms (e.g., Shopify, Magento, Commerce Cloud).Strong proficiency in Microsoft Excel (VLOOKUP, pivot tables, data cleaning functions) and also
Job Title: Associate Prompt EngineersExperience Required: 0 - 7 Years (Freshers and Experienced)Employment Type: Contract (Duration: 1+ year, extendable)Client: NA Payroll Company: Randstad India Pvt LtdMode of Work: Completely Work From HomeShift: Day shiftJob Responsibilities: Primarily involve creating and evaluating various types of AI prompts and their corresponding responses (conversational, generative, video descriptions, summaries,
Job Title: Associate Prompt EngineersExperience Required: 0 - 7 Years (Freshers and Experienced)Employment Type: Contract (Duration: 1+ year, extendable)Client: NA Payroll Company: Randstad India Pvt LtdMode of Work: Completely Work From HomeShift: Day shiftJob Responsibilities: Primarily involve creating and evaluating various types of AI prompts and their corresponding responses (conversational, generative, video descriptions, summaries,
MLOps EngineerWe are seeking a highly capable MLOps Engineer to join our growing AI/ML Team. You will bridge the gap between data science and operations, ensuring that machine learning models are efficiently tested, deployed, monitored, and maintained in production environments. You will work closely with data scientists, software engineers, infrastructure, and development teams to build scalable and reliable ML infrastructure. You will be instrumental
MLOps EngineerWe are seeking a highly capable MLOps Engineer to join our growing AI/ML Team. You will bridge the gap between data science and operations, ensuring that machine learning models are efficiently tested, deployed, monitored, and maintained in production environments. You will work closely with data scientists, software engineers, infrastructure, and development teams to build scalable and reliable ML infrastructure. You will be instrumental