Machine Learning ops - hà nộiCÔNG TY CỔ PHẦN PHẦN MỀM CITIGO
Hình thức: Toàn thời gian
Ngày đăng: 23/04/2024
Hạn nộp: 23/05/2024
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Mô tả công việc
About KiotViet:
KiotViet aims to extend the significant power of technology to every business model in Vietnam and Southeast Asia through our simple and effective solutions. We are committed to creating efficient, convenient products for micro, small, and medium-sized businesses. Over the past 13 years, with a current team of over 1500 people at KiotViet, we recognize that our members are the foundation of KiotViet and a launchpad for achieving a better KiotViet in the future. KiotViet is dedicated to creating a work environment that fosters shared success and responsibilities.
Kiotviet is Vietnam's largest POS provider, with over 200,000 merchants across various industries. We are expanding into other South-east Asian countries with our POS offerings and are expanding our product portfolio with new offerings in the fintech space.
What you will do:
- Design and setup a flow in model developement for ML/DL project.
- Designing and implementing ML Environments in both Prod/Dev environments.
- Continuously building and deploying reproducibale and scalable solution
- Implement versioning of Models and Datasets, tracking the experiment design
- Setup the monitoring and tracing tools in order to easily maintain our solutions.
KiotViet aims to extend the significant power of technology to every business model in Vietnam and Southeast Asia through our simple and effective solutions. We are committed to creating efficient, convenient products for micro, small, and medium-sized businesses. Over the past 13 years, with a current team of over 1500 people at KiotViet, we recognize that our members are the foundation of KiotViet and a launchpad for achieving a better KiotViet in the future. KiotViet is dedicated to creating a work environment that fosters shared success and responsibilities.
Kiotviet is Vietnam's largest POS provider, with over 200,000 merchants across various industries. We are expanding into other South-east Asian countries with our POS offerings and are expanding our product portfolio with new offerings in the fintech space.
What you will do:
- Design and setup a flow in model developement for ML/DL project.
- Designing and implementing ML Environments in both Prod/Dev environments.
- Continuously building and deploying reproducibale and scalable solution
- Implement versioning of Models and Datasets, tracking the experiment design
- Setup the monitoring and tracing tools in order to easily maintain our solutions.
Yêu cầu công việc
- BS degree or equivalent practical experience in Computer Science, IT, MIS or related fields.
- Good at general Software Engineering skills, and a deep knowledge of how those work in Python: maintainable code, testing, linting, type checking, ...
- You are proficient in "classic" DevOps: strong experience with setting up CI/CD systems with declarative pipelines (GitHub Actions, GitLab CI/CD, "modern" Jenkins, ...), monitoring, dev-qa-prod environments, ...
- Have experience with tooling for version control and application/library packaging (Git, Poetry, Conda, pip, Docker, ...). Experience with advanced version control tools for ML datasets and models (MLFlow, DVC, ...) is a strong plus.
- Familiar with common DB and storages: SQL & other databases, blob storage, ... especially in the cloud.
- Fluently handle deployments with Docker and Kubernetes on Cloud Infrastructure. Experience with modern GitOps tools (e.g. ArgoCD) is a strong plus.
- Have a good knowledge of how Machine Learning models work.
- Good at general Software Engineering skills, and a deep knowledge of how those work in Python: maintainable code, testing, linting, type checking, ...
- You are proficient in "classic" DevOps: strong experience with setting up CI/CD systems with declarative pipelines (GitHub Actions, GitLab CI/CD, "modern" Jenkins, ...), monitoring, dev-qa-prod environments, ...
- Have experience with tooling for version control and application/library packaging (Git, Poetry, Conda, pip, Docker, ...). Experience with advanced version control tools for ML datasets and models (MLFlow, DVC, ...) is a strong plus.
- Familiar with common DB and storages: SQL & other databases, blob storage, ... especially in the cloud.
- Fluently handle deployments with Docker and Kubernetes on Cloud Infrastructure. Experience with modern GitOps tools (e.g. ArgoCD) is a strong plus.
- Have a good knowledge of how Machine Learning models work.
Quyền lợi được hưởng
- Top salary range in the market (willing to negotiate)
- Compensation, pay a 13th month salary depending on employee's performance
- Performance bonus (up to 2-month salary)
- Social - Health - Insurance paid fully. Healthcare: Annual health check-up, Premium Health Insurance ( from level senior according to the company's regulations)
- Advantageous and yield benefits, other benefits such as holiday vacations, benefits for employee's relatives
- Unlimited chance of being promoted based on employee's performance
- Compensation, pay a 13th month salary depending on employee's performance
- Performance bonus (up to 2-month salary)
- Social - Health - Insurance paid fully. Healthcare: Annual health check-up, Premium Health Insurance ( from level senior according to the company's regulations)
- Advantageous and yield benefits, other benefits such as holiday vacations, benefits for employee's relatives
- Unlimited chance of being promoted based on employee's performance
Thông tin khác
Cấp bậc
Nhân viên
Kinh nghiệm
3 năm
Số lượng tuyển
1 người
Hình thức làm việc
Toàn thời gian
Giới tính
Không yêu cầu
Nhân viên
Kinh nghiệm
3 năm
Số lượng tuyển
1 người
Hình thức làm việc
Toàn thời gian
Giới tính
Không yêu cầu
Nộp hồ sơ liên hệ
CÔNG TY CỔ PHẦN PHẦN MỀM CITIGO
Giới thiệu công ty
CÔNG TY CỔ PHẦN PHẦN MỀM CITIGO việc làm
Số 1A, Yết Kiêu,Phường Trần Hưng Đạo, Quận Hoàn Kiếm, TP Hà Nội
Quy mô: Từ 5000 - 10000 nhân viên
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Giới thiệu công ty
CÔNG TY CỔ PHẦN PHẦN MỀM CITIGO việc làm
Số 1A, Yết Kiêu,Phường Trần Hưng Đạo, Quận Hoàn Kiếm, TP Hà Nội
Quy mô: Từ 5000 - 10000 nhân viên