1. Introduction
Thehegeo is building large-scale data, AI, agent, and digital transformation products for businesses and government agencies.
2. Responsibilities
- ML pipelines and orchestration: Build and operate training/serving pipelines on Kubernetes; orchestrate workflows with Airflow, Kubeflow, or Argo Workflows; manage experiments and model registries with MLflow.
- Model serving and LLMs: Deploy models with KServe, Triton, vLLM, or Ray; optimize inference and GPU scheduling. LLM/RAG operations experience is a strong plus.
- Data and features: Work with lakehouse technologies (MinIO/S3, Iceberg/Nessie, Trino/Spark), feature pipelines, data versioning, and JupyterHub for data scientists.
- MLOps tooling and automation: Build ML CI/CD pipelines for testing, building, and deploying models; containerize with Docker/Harbor; use Ansible; write strong Python.
- Monitoring and optimization: Track model drift, latency, accuracy, resource/GPU utilization with Prometheus/Grafana, and costs.
- Platform and collaboration: Understand Kubernetes and on-premises/data-center environments; work closely with Platform/DevSecOps teams, take initiative, and debug independently.
3. Requirements
- Python
- ML/LLM Systems
- Kubernetes
- Monitoring cho AI
4. Nice to have
- Experience with AI/LLMs, Kubernetes, distributed systems, GovTech, or enterprise platforms.
5. Benefits
- Competitive compensation and performance-based rewards, with the chance to work on large-scale AI and data projects in a modern technology environment.
6. Work location
Giang Vo, Hanoi.
7. How to apply
Send your CV and portfolio by email to [email protected] or call 0346 931 848.