Machine Learning Operations Engineer
TOG Recruitment
Địa điểm làm việc: Hồ Chí Minh
Hết hạn: 15/03/2023
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- Giới thiệu công ty
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Mô tả công việc
Mô tả công việc
Tóm tắt công việc
For one of our clients, TOG recruitment is looking for a Machine Learning Operations Engineer, to work in Ho Chi Minh city. As such, you always will be working with the latest proven technologies in a state of the art office with an open environment. You will work closely together with partners outside Vietnam and will join one of the SCRUM development cycles. Daily stand up video conferences can or will be part of the job. Therefore English training courses are provided to improve English communication skills.
Our client is looking for a Machine Learning Operations Engineer (MLOps Engineer) to develop and maintain a platform for Machine Learning. It's a product that will have the ability to handle millions of stream data from IoT devices and served by millions of Machine Learning models.
The MLOps Engineer should be able to work independently and in a team environment and be passionate about creating highly scalable, efficient, and easy-to-maintain solutions.
Responsibilities:
- Setting up tools and required infrastructure
- Setup and maintain CI/CD pipelines
- Implement and optimize our computation workflows, both latency and cost
- Design and build the core infrastructure powering our Machine Learning services.
- Ensure that our platform is scalable, available, and resilient.
- Monitoring ML services, ML models, training and data processing flows.
Domain: (DX) Digital Transformation
Project Type / Duration: Long-term
Teamsize: 20
Tóm tắt công việc
For one of our clients, TOG recruitment is looking for a Machine Learning Operations Engineer, to work in Ho Chi Minh city. As such, you always will be working with the latest proven technologies in a state of the art office with an open environment. You will work closely together with partners outside Vietnam and will join one of the SCRUM development cycles. Daily stand up video conferences can or will be part of the job. Therefore English training courses are provided to improve English communication skills.
Our client is looking for a Machine Learning Operations Engineer (MLOps Engineer) to develop and maintain a platform for Machine Learning. It's a product that will have the ability to handle millions of stream data from IoT devices and served by millions of Machine Learning models.
The MLOps Engineer should be able to work independently and in a team environment and be passionate about creating highly scalable, efficient, and easy-to-maintain solutions.
Responsibilities:
- Setting up tools and required infrastructure
- Setup and maintain CI/CD pipelines
- Implement and optimize our computation workflows, both latency and cost
- Design and build the core infrastructure powering our Machine Learning services.
- Ensure that our platform is scalable, available, and resilient.
- Monitoring ML services, ML models, training and data processing flows.
Domain: (DX) Digital Transformation
Project Type / Duration: Long-term
Teamsize: 20
Yêu cầu
Yêu cầu công việc
Must have:
- Proven experience as a Devops or MLOps at least 3 years.
- Understand about Machine Learning basic.
- Familiar with one or more data-oriented workflow orchestration framework: Kubeflow,
Airflow, Argo, ...
- Knowledge of frameworks such as scikit-learn, Keras, Pytorch, Tensorflow,...
- Knowledge about deploy Machine Learning models in production with one or more tools:
BentoML, Kserve, Modelmesh-serving,...
- Experience with Python, Terraform, Helm.
- Experience developing microservices with Kubernetes.
- Familiar with Machine Learning workflows.
- Experience with system that process Big data
Nice to have:
- Experience with IoT system or timeseries data
- Familiar with modern data preprocessing, storage technologies and database.
- Familiar with streaming technologies such as Kafka, Spark, Flink, Iceberg...
Must have:
- Proven experience as a Devops or MLOps at least 3 years.
- Understand about Machine Learning basic.
- Familiar with one or more data-oriented workflow orchestration framework: Kubeflow,
Airflow, Argo, ...
- Knowledge of frameworks such as scikit-learn, Keras, Pytorch, Tensorflow,...
- Knowledge about deploy Machine Learning models in production with one or more tools:
BentoML, Kserve, Modelmesh-serving,...
- Experience with Python, Terraform, Helm.
- Experience developing microservices with Kubernetes.
- Familiar with Machine Learning workflows.
- Experience with system that process Big data
Nice to have:
- Experience with IoT system or timeseries data
- Familiar with modern data preprocessing, storage technologies and database.
- Familiar with streaming technologies such as Kafka, Spark, Flink, Iceberg...
Thông tin khác
Yêu cầu kỹ thuật:
MLOps
,
DevOps
,
Python
,
Machine Learning
,
Apache Spark
,
Big Data
,
Apache Kafka
,
IoT
,
Kubernetes
,
Tensorflow
,
Keras
,
Microservices
,
Terraform
,
PyTorch
,
Apache Airflow
,
Helm
,
Apache Flink
,
Kubeflow
,
CI/CD
MLOps
,
DevOps
,
Python
,
Machine Learning
,
Apache Spark
,
Big Data
,
Apache Kafka
,
IoT
,
Kubernetes
,
Tensorflow
,
Keras
,
Microservices
,
Terraform
,
PyTorch
,
Apache Airflow
,
Helm
,
Apache Flink
,
Kubeflow
,
CI/CD
Thông tin chung
- Ngày hết hạn: 15/03/2023
- Thu nhập: 45 triệu
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