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.
Required Skills and Qualifications
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 likeAzure, AWS , orGoogle 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.
Work Location2F Vinh Trung Plaza, No.
255-257 Hung Vuong, Vinh Trung, Thanh Khe, Da Nang
Benefits5-day workweek with weekends off.
Dynamic, professional environment with career growth opportunities.
Social, medical, and unemployment insurance based on actual salary.
Performance and salary review twice a year.
Quarterly bonus opportunities based on performance.
Regular team-building events and internal activities (weekly happy hour, quarterly team building events, Lunar New Year parties, etc.
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