OCB - Ngân hàng TMCP Phương Đông
AI tóm tắt
Skills bắt buộc
Experience
- 4+ years in AI/ML engineering with a real track record of production systems, not prototypes. You can point to things running in production with users and business impact behind them.
- Banking, financial services, or another regulated, security-sensitive industry is a strong plus.
- Bonus: experience as a forward-deployed / solutions / embedded engineer where you owned a customer or business outcome directly.
Core Skills
- Production-grade LangChain/LangGraph — multi-agent architectures, function calling, tool integration, stateful graphs. This is the bar.
- Strong command of advanced RAG pipeline design and agent orchestration.
- Computer Vision / VLM for OCR, document intelligence, and image analysis.
- LLMOps/MLOps: model serving (FastAPI, vLLM, Triton), containerization (Docker, Kubernetes), CI/CD, evaluation and guardrails.
- Databricks (Delta Lake, MLflow) for data processing and scaled deployment.
How You Operate
- Outcome-obsessed. You measure your work in CIR basis points and revenue lift, not commits.
- Embedded and fearless. Comfortable sitting with operators, learning a domain cold, and owning the result in front of business leaders.
- Bias to ship. Production over PowerPoint. Fast iteration, tight feedback loops.
- Excellent communicator who can translate technical work for non-technical stakeholders. Bilingual Vietnamese/English is a strong plus.
- 100% salary during probation
- 13th month salary and year-end bonus based on business performance (1–3.5 months’ salary)
- Competitive total compensation, commensurate with experience and capability
- Annual salary review based on performance
- Bonus and benefits in accordance with the Bank’s policies
- Eligibility for preferential loan programs for employees
- Health insurance card covering inpatient and outpatient medical care (as per policy)
- Professional working environment with deep technical specialization and long-term career development
- Opportunity to participate in large-scale technology projects in the banking and finance domain
- Exposure to core banking systems, large-scale data, and high-security environments
- Regular internal training programs in technical expertise, banking knowledge, and soft skills
