- Chi tiết công việc
- Giới thiệu công ty
Thu nhập: Thoả thuận
Loại hình: Toàn thời gian
Chức vụ: Nhân viên
Mô tả công việc
Role Overview
A MLOps Engineer is a professional who has several years of experience in MLOps and is expected to lead or independently manage large-scale projects related to ML model deployment, monitoring, and optimization. They also have a deeper understanding of systems architecture and can mentor junior team members.
Responsibilities
Lead and design the architecture for deploying and maintaining ML models in production.
Implement robust, scalable, and secure ML pipelines and workflows.
Work closely with development teams to deploy and integrate models.
Ensure the system is optimized for high availability, reliability, and performance.
Automate end-to-end model deployment processes and CI/CD pipelines.
Implement monitoring and alerting for production models, ensuring uptime and performance.
Conduct performance tuning and model updates based on real-time data and feedback.
Manage infrastructure on cloud services and container orchestration systems like Kubernetes.
Mentor junior MLOps engineers and interns, providing technical guidance and reviews.
A MLOps Engineer is a professional who has several years of experience in MLOps and is expected to lead or independently manage large-scale projects related to ML model deployment, monitoring, and optimization. They also have a deeper understanding of systems architecture and can mentor junior team members.
Responsibilities
Lead and design the architecture for deploying and maintaining ML models in production.
Implement robust, scalable, and secure ML pipelines and workflows.
Work closely with development teams to deploy and integrate models.
Ensure the system is optimized for high availability, reliability, and performance.
Automate end-to-end model deployment processes and CI/CD pipelines.
Implement monitoring and alerting for production models, ensuring uptime and performance.
Conduct performance tuning and model updates based on real-time data and feedback.
Manage infrastructure on cloud services and container orchestration systems like Kubernetes.
Mentor junior MLOps engineers and interns, providing technical guidance and reviews.
Yêu cầu
Proficiency in English, with exceptional listening, speaking, reading skills
Deep knowledge of MLOps lifecycle and operational challenges.
Strong proficiency in programming (Python, Shell scripting).
Expertise in cloud platforms, containerization, and orchestration (Kubernetes).
Experience with cloud platforms like Azure, AWS, or Google Cloud, especially their AI/ML offerings.
Experience in setting up and managing ML pipelines using tools like Kubeflow, MLflow, or Airflow.
Strong troubleshooting and performance optimization skills.
Experience with versioning, testing, and deployment strategies in ML workflows.
Familiarity with security and compliance best practices in ML deployment.
Excellent problem-solving, mentoring, and communication skills.
Deep knowledge of MLOps lifecycle and operational challenges.
Strong proficiency in programming (Python, Shell scripting).
Expertise in cloud platforms, containerization, and orchestration (Kubernetes).
Experience with cloud platforms like Azure, AWS, or Google Cloud, especially their AI/ML offerings.
Experience in setting up and managing ML pipelines using tools like Kubeflow, MLflow, or Airflow.
Strong troubleshooting and performance optimization skills.
Experience with versioning, testing, and deployment strategies in ML workflows.
Familiarity with security and compliance best practices in ML deployment.
Excellent problem-solving, mentoring, and communication skills.
Quyền lợi
5-day workweek
Young & vibrant working environment with great career development opportunities
Social insurance, medical insurance, unemployment insurance, are based on actual salary
Performance review and salary adjustment twice a year.
Regular team building events & internal activities (weekly happy hour, quarterly team building events, Lunar New Year parties, etc.)
Young & vibrant working environment with great career development opportunities
Social insurance, medical insurance, unemployment insurance, are based on actual salary
Performance review and salary adjustment twice a year.
Regular team building events & internal activities (weekly happy hour, quarterly team building events, Lunar New Year parties, etc.)
Thông tin khác
Địa điểm làm việc
- Đà Nẵng: 2F Vinh Trung Plaza, No. 255-257 Hung Vuong, Vinh Trung, Thanh Khê
- Hà Nội: tầng 4, Số 3 Lê Trọng Tấn, Thanh Xuân
Thời gian làm việc
Thứ 2 - Thứ 6 (từ 08:00 đến 17:00)
- Đà Nẵng: 2F Vinh Trung Plaza, No. 255-257 Hung Vuong, Vinh Trung, Thanh Khê
- Hà Nội: tầng 4, Số 3 Lê Trọng Tấn, Thanh Xuân
Thời gian làm việc
Thứ 2 - Thứ 6 (từ 08:00 đến 17:00)
Thông tin chung
- Thu nhập: Thoả thuận
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 25/01/2025
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