Alliance One Apparel ★ 1.0

Bến Tre
500 - 1.000 nhân viên
Dệt may / Da giày / Thời trang
Đã xác minh

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Hành chính
Nghệ thuật - Thiết kế
Lao động có tay nghề và sản xuất
Công nghệ thông tin
Buôn bán/ Kinh doanh

Việc làm Alliance One Apparel

Cập nhật 31/12/2024 16:17
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Alliance One Apparel Co., Ltd.
Staff MLOps Engineer – Bangkok-based (Full Relocation Package Provided)
Alliance One Apparel 1.0★
2 đánh giá 72 việc làm 13 lượt xem
Hết hạn ứng tuyển
Thông tin cơ bản
Mức lương: Thỏa thuận
Chức vụ: Nhân viên
Ngày đăng tuyển: 24/10/2024
Hạn nộp hồ sơ: 01/12/2024
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:

  • 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

What You’ll Need to Succeed:

  • 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

It’s Great if you have:

  • 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.

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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.

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Báo cáo

Alliance One Apparel Co., Ltd.
Alliance One Apparel Xem trang công ty
Quy mô:
500 - 1.000 nhân viên
Địa điểm:

Alliance One Apparel Co., Ltd là một trong những tập đoàn Liberty. Chúng tôi là nhà cung cấp đồ thể thao có uy tín cho nhiều thương hiệu đẳng cấp thế giới. Chúng tôi có nhà máy ở 4 quốc gia với đủ công suất phục vụ thị trường từ Châu Âu, Mỹ, Châu Á, Nam Phi và Châu Mỹ Latinh. Chúng tôi có một quy trình sản xuất hàng may mặc nội bộ hoàn chỉnh từ quy trình tiền sản xuất đến quy trình sau sản xuất.


Review Alliance One Apparel

1.0
2 review

28/06/2023
Công nhân tại Bến Tre

Ban đầu nói tăng ca là tự nguyện không ép buộc, sau đó lại ép tăng ca (gg)

23/10/2024
Công nhân tại Bến Tre

Công nhân mới vô thử việc thì bắt làm đủ thứ sau đó thì trả hồ sơ về, (gg)

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