Key Responsibilities
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ML Framework Development: Build and maintain high-performance ML software, focusing on system scalability and optimization.
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DevOps & CI/CD Excellence: Streamline the testing and deployment of large-scale ML models by enhancing automated pipelines.
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Cloud Infrastructure Management: Implement and oversee cloud-based systems for continuous integration and delivery, ensuring high availability.
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Cross-Functional Collaboration: Partner with research, QA, and engineering teams to accelerate software delivery cycles and improve code quality.
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Problem Solving: Resolve complex technical bottlenecks related to containerization, cloud environments, and production software.
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Technical Leadership: Conduct code reviews, mentor junior engineers, and maintain comprehensive documentation for all deployment processes.
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Stakeholder Communication: Act as a bridge between technical and non-technical stakeholders to provide visibility into the release lifecycle.
Requirements
Minimum Qualifications:
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Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
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Experience: 7+ years of software engineering experience with a heavy focus on CI/CD, cloud architecture, and ML frameworks.
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Technical Stack: Proficiency with automation/orchestration tools such as Docker, Kubernetes, Jenkins, and Terraform.
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Cloud Platforms: Hands-on experience with AWS, Azure, or GCP.
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Programming: Strong coding skills in Python (or other relevant languages).
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Systems Design: Proven track record of deploying and maintaining scalable, production-grade software solutions.
Preferred Skills:
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Experience with Large Language Models (LLMs) and advanced AI workflow templates.
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Background in deploying ML models specifically for edge computing platforms.
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Active contributions to the open-source community.
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High adaptability and the ability to master new technologies quickly.
HOW TO APPLY: Please send your CV to the consultant in charge:
Ms. Uyen Nguyen
Email: uyen.nguyen@ev-search.com
All applications will be considered without regard to race, color, religion, sex (inclusing pregnancy and fender identity), national origion, political affiliation, sexual orientation, mariatal status, disability, genetic information, age, membership in an employee organization, parental status, military service or other nonmerit factor
