MLOps Engineer- DevOps Engineer

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

Ensure the system is optimized for high availability, reliability, and performance.
Automate end- to- end model deployment processes and CI/CD pipelines.
Implement robust, scalable, and secure ML pipelines and workflows.
Lead and design the architecture for deploying and maintaining ML models in production.
Manage infrastructure on cloud services and container orchestration systems like Kubernetes.
Mentor junior MLOps engineers and interns, providing technical guidance and reviews.
Work closely with development teams to deploy and integrate models.
Conduct performance tuning and model updates based on real- time data and feedback.
Implement monitoring and alerting for production models, ensuring uptime and performance.

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.
Experience in setting up and managing ML pipelines using tools like Kubeflow, MLflow, or Airflow.
Experience with versioning, testing, and deployment strategies in ML workflows.
Strong troubleshooting and performance optimization skills.
Expertise in cloud platforms, containerization, and orchestration (Kubernetes).
Experience with cloud platforms like Azure, AWS, or Google Cloud, especially their AI/ML offerings.
Strong proficiency in programming (Python, Shell scripting).
Proficiency in English, with exceptional listening, speaking, reading skills

Social insurance, medical insurance, unemployment insurance, are based on actual salary
5- day workweek
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
Performance review and salary adjustment twice a year.

Cập nhật gần nhất lúc: 2024-12-26 13:55:03