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 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.
Work Location4F Artemis, No 3 Le Trong Tan, Thanh Xuan, Hanoi Benefits
- 5-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
- Potential for international onsite assignments
- Regular team-building events and internal activities (weekly happy hour, quarterly team building events, Lunar New Year parties, etc.)
Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.
Top Skills
What We Do
Collaborate with Confidence. AvePoint provides the most advanced platform to optimize SaaS operations and secure collaboration. Over 17,000 customers worldwide rely on our solutions to modernize the digital workplace across Microsoft, Google, Salesforce and other collaboration environments. AvePoint's global channel partner program includes over 3,500 managed service providers, value added resellers and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com.
Why Work With Us
AvePoint is committed on talent development via internal mobility, mentoring, & continued learning so that each person can make an impact & feel recognized. As a newly public company, we are energetic & passionate about our continued growth and how each person has a role in that, so we can go further, together.
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