Junior DevOps / MLOps Engineer

Mô tả công việc

Research and adopt best practices in MLOps, model versioning, and continuous training strategies.
Develop containerized environments (Docker, Kubernetes) for reproducible model deployment.
Support infrastructure optimization, including storage, network, and GPU utilization analysis.
Ensure compliance with healthcare data security standards and regulatory frameworks (e.g., HIPAA, FHIR).
Manage and secure cloud/on- premises GPU clusters, ensuring high availability and efficient resource utilization.
Automate end- to- end ML pipelines (data ingestion, model training, evaluation, and deployment) using modern MLOps frameworks.
Implement monitoring and logging systems for model performance and system reliability.
Collaborate with AI engineers, data scientists, and backend developers to optimize CI/CD workflows for AI services.
Design, build, and maintain scalable infrastructure to support AI model development, training, and deployment.

Yêu cầu công việc

2+ years of experience in DevOps, MLOps, or Cloud Infrastructure (AI/ML- related experience preferred).
Understanding of model deployment techniques: REST API, gRPC, model registry, inference serving (Triton, TorchServe, etc.).
Strong knowledge of CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, ArgoCD).
Experience with cloud services (AWS, GCP, Azure) and on- premise GPU systems.
Good understanding of networking, monitoring, and system security principles
Good English
Excellent collaboration and documentation skills.
Familiarity with ML workflow tools (MLflow, Kubeflow, Airflow, or similar).
Strong scripting skills (Python, Bash) and experience in automation/configuration tools (Terraform, Ansible).
Bachelor’s degree in Computer Science, Information Technology, or related field.
Experience with containerization and orchestration (Docker, Kubernetes).

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Working location: 01, Street 104- BTT, Binh Trung Ward, Ho Chi Minh City

Cập nhật gần nhất lúc: 2025-10-26 18:55:02