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Senior MLOps Engineer – Bangkok-based (Full Relocation Package Provided)
Thông tin cơ bản
Mức lương:
Thỏa thuận
Chức vụ:
Nhân viên
Ngày đăng tuyển:
04/12/2024
Hạn nộp hồ sơ:
11/01/2025
Hình thức:
FULL_TIME
Kinh nghiệm:
5 - 6 năm
Số lượng:
1
Giới tính:
Không yêu cầu
Nghề nghiệp
Ngành
About Agoda
Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more . Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
Our Purpose – Bridging the World Through Travel
We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
ML Platform in Agoda
Agoda ML and AI Platform is built on self-managed Kubernetes and powered by Kubeflow, an open-source solution that enables efficient machine learning workflows.
Our AI Ops team combines the best practices of software engineering with data science to help Machine Learning Engineers and Data Scientists work more effectively, meaning we aim to incorporate data/model versioning, collaboration, monitoring etc. in an intuitive way that allows our users to prosper within the field.
In This Role, You’ll Get to:
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy .
To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more . Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
Our Purpose – Bridging the World Through Travel
We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
ML Platform in Agoda
Agoda ML and AI Platform is built on self-managed Kubernetes and powered by Kubeflow, an open-source solution that enables efficient machine learning workflows.
Our AI Ops team combines the best practices of software engineering with data science to help Machine Learning Engineers and Data Scientists work more effectively, meaning we aim to incorporate data/model versioning, collaboration, monitoring etc. in an intuitive way that allows our users to prosper within the field.
In This Role, You’ll Get to:
- Lead the design, development, and implementation of on-premises MLOps solutions that support the delivery of machine learning models
- Collaborate with data scientists and software engineers to build scalable and efficient data pipelines and model training and deployment systems
- Develop and maintain monitoring and management tools to ensure the reliability and performance of our on-premises MLOps infrastructure
- Work with stakeholders across the organization to understand their machine learning needs and requirements, and to develop MLOps solutions that meet those needs
- Stay up-to-date with the latest trends and technologies in MLOps, LLMOps, machine learning, and artificial intelligence, and share your knowledge with the team to help us stay at the forefront of the field
- Mentor junior members of the team and help them grow their skills and expertise in MLOps
- Troubleshooting and debugging user issues
- 5+ years of experience in MLOps, Software engineering, Data engineering, or a related field
- Strong programming skills in a modern programming language (Java, Scala, Python, Kotlin)
- Excellent communication and collaboration skills, and the ability to work effectively in a team environment
- Value code simplicity and performance
- Understanding of ML Projects lifecycle
- Experience with MLOps platforms, such as Kubeflow or MLFlow
- Experience with ML frameworks – like scikit-learn, LGBM, Tensorflow, PyTorch etc.
- Experience with Big Data tools – Spark, S3, Hadoop
- Strong knowledge of containerization and container orchestration technologies, such as Docker and Kubernetes
- Experience with DevOps and CI/CD practices
- Has experience building and scaling model serving tools, i.e building APIs with tight SLAs
- Passion for the engineering behind machine learning, and scaling it
- Experience designing and building MLOps infrastructure, including data pipelines, model training and deployment systems, and monitoring and management tools.
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy .
To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
Khu vực
Kinden viet nam
Xem trang công ty
Quy mô:
200 - 500 nhân viên
Địa điểm:
Tầng 15, Toà nhà CMC, phố Duy Tân, Phường Dịch Vọng Hậu, Quận Cầu Giấy, Thành phố Hà Nội, Việt Nam
Công ty TNHH Kinden Việt nam là Công ty 100% vốn nước ngoài thuộc tập đoàn Kinden Nhật Bản, được thành lập từ năm 1997. Công ty chuyên thiết kế, thi công xây dựng, lắp đặt hệ thống điện, điều hòa, không khí, thông gió, cấp nước, thoát nước các công trình dân dụng, công nghiệp. Qua gần 20 năm phát triển, với đội ngũ nhân viên, kỹ sư (Việt Nam và Nhật Bản) có trình độ, lành nghề, làm việc chuyên nghiệp và nhiệt tình chúng tôi đã khẳng định là một trong các Công ty hàng đầu trong việc triển khai các dự án về Điện- Cơ.
Review Kinden viet nam
4.5
4 review
04/12/2024
★
★
★
★
★
Nhân viên
tại Hồ Chí Minh
Là nơi làm việc tốt, có chế độ đãi ngộ khá cao. (RV)
02/12/2024
★
★
★
★
★
Nhân viên
tại Hồ Chí Minh
ổn định , tăng ca thoải mái (FB)
24/10/2023
★
★
★
★
★
Nhân Viên Giám Sát
tại Bình Dương
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