Senior GenAI/MLOps Engineer

5 - 9 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Agoda is an online travel booking platform that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, as well as flights, activities, and more. As part of Booking Holdings and based in Asia, Agoda boasts a diverse team of 7,100+ employees from 95+ nationalities across 27 markets. The work environment at Agoda is characterized by diversity, creativity, and collaboration, fostering innovation through a culture of experimentation and ownership, ultimately enhancing the customer experience of exploring the world. At Agoda, our purpose is to bridge the world through travel, believing that travel enables people to enjoy, learn, and experience the wonders of the world, bringing individuals and cultures closer together while fostering empathy, understanding, and happiness. Our team comprises skilled, driven individuals from around the globe united by a passion to make a positive impact. Leveraging innovative technologies and strong partnerships, we strive to make travel accessible and rewarding for everyone. The LLMOps Platform at Agoda is dedicated to enabling scalable, secure, and efficient deployment of Large Language Models (LLMs) and generative AI solutions. Our platform, built on robust cloud and on-premises infrastructure, empowers teams to experiment, deploy, and monitor LLM-powered applications with confidence and agility. The LLMOps team bridges the gap between advanced AI research and real-world production systems, ensuring reliable, responsible, and scalable delivery of LLMs. Emphasizing best practices in model lifecycle management, data privacy, prompt engineering, and continuous improvement, we enable users to unlock the full potential of generative AI. In this role, you will have the opportunity to lead the design, development, and implementation of LLMOps solutions, collaborating with data scientists, ML engineers, and product teams to build scalable pipelines for LLM fine-tuning, evaluation, and inference. You will develop and maintain tools for prompt management, versioning, and automated evaluation of LLM outputs, ensuring responsible AI practices by integrating data anonymization, bias detection, and compliance monitoring into LLM workflows. Additionally, you will work on monitoring and management tools to ensure the reliability and performance of on-premises and cloud machine learning platforms, while also engaging with stakeholders across the organization to understand generative AI needs and deliver impactful LLMOps solutions. To succeed in this role, you should have at least 5 years of experience in LLMOps, MLOps, Software Engineering, or a related field, along with strong programming skills in a modern language such as Python, Kotlin, Scala, or Java. Excellent communication and collaboration skills are essential, as well as a commitment to code quality, simplicity, and performance. Experience with LLMOps platforms and tools, familiarity with prompt engineering and LLM evaluation frameworks, knowledge of data privacy practices, and expertise in containerization, orchestration, DevOps, CI/CD, and scalable API development are highly beneficial. A passion for engineering challenges in generative AI and experience in designing and building LLMOps infrastructure will further contribute to your success in this role. Agoda offers a flexible hybrid work arrangement with remote work options, generous annual leave, exclusive accommodation discounts, wellness benefits, opportunities for career growth, competitive compensation, and comprehensive health benefits. Additionally, a relocation package is provided for employees and their families, including full visa sponsorship, airfare support, temporary accommodation, and assistance with household goods and pet relocation. Agoda is an Equal Opportunity Employer, and we will keep your application on file for future vacancies. You can request to have your details removed from the file at any time. For more information, please refer to our privacy policy.,

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Agoda

Travel & Hospitality

Singapore

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