Techcombank

Tóm tắt công việc

- Manage infrastructure across on-premise clusters and AWS cloud, ensuring high availability and scalability.
- End-to-End MLOps Pipeline: Own the ML lifecycle from data ingestion, model training, and validation, to deployment and monitoring, using the latest MLOps practices. Also design, impelemnt and maintain feature store pipeline.
- Develop and maintain Infrastructure as Code (IaC) using Terraform for provisioning cloud and on-prem resources.
- Databricks & ML Deployment: Architect and deploy large-scale machine learning models on Databricks, ensuring high availability, fault tolerance, and compliance with enterprise-grade security standards.
- Deploy and manage containerized ML services CI/CD using Kubernetes, with GitOps practices via ArgoCD for ML Platform across Cloud and OnPrem.
- Chatbot RAG & LangChain Expertise: design, deployment, and optimization of Retrieval- Augmented Generation pipelines leveraging LangChain to build scalable, performant AI applications.
- Network understanding for configure VPCs, subnets, security groups, VPNs, and firewalls in AWS and on-prem environments.
- Monitor system performance, troubleshoot issues, and implement improvements for reliability and efficiency.

Other infomation:
- Level: Senior Officer or Expert (manager)
- Working time: Office Hours.
- Probation: 2 months (full 100% offer).

Company Benefits:
- Receive an extremely attractive basic salary, 13th month salary + Performance Bonus up to 5 months. Annual salary and work performance review.
- Participate in advanced training courses of Techcombank.
- Be informed of the latest practical situations from the No. 1 Senior Experts/Managers in the Vietnamese market.
- Share a clear career path with close support from management;
- Receive comprehensive care with Personal and Family Health Insurance; Periodic health check-ups, Bank birthdays, Teambuilding, Year-end Party, ..

- 3+ years of experience in machine learning, with a focus on MLOps and large-scale model deployment. Advanced proficiency in Python and other relevant languages, with strong skills in cloud-native deployments (e.g., AWS, Azure, GCP).Expertise in Infrastructure as Code (IaC)
principles
- Expertise in Kubernetes skills and CI/CD pipeline are big advantages
- Experience with Databricks is a big advantage

- Strong experience with programming languages, technique tools, and frameworks aligned with machine learning: Python, LLM, Langchain, GraphRAG, HuggingFace, Chatbot is a plus.
- Experience with Generative AI, Promp Engineering, and Large Language Models is a big plus