Qualification
Education:
Bachelor’s degree or equivalent professional experience.
Experience
5+ years hands-on experience in software engineering, DevOps/SRE, data platform engineering or AI/ML engineering. - Practical experience building, operating or supporting production-grade AI/ML, data or application platforms in enterprise environments. O Specific Knowledge - Strong knowledge of DevOps/SRE practices, automation and production operations. - Hands-on experience with containers and orchestration technologies such as Docker and Kubernetes, and familiarity with Linux-based enterprise infrastructure. - Familiarity with LLM Ops concepts, including model deployment, monitoring, observability, evaluation, and rollback mechanisms. - Good understanding of LLM application stack and AI engineering patterns, such as RAG, embeddings, vector databases, workflow orchestration and API-based model serving. - Proficiency in at least one programming or scripting language commonly used for automation and platform engineering, such as Python, Java or Go. - Strong communication and collaboration skills, with the ability to translate platform capabilities and constraints to AI engineers, architects, security teams and business stakeholders. - Financial services, banking, or China-regulated enterprise IT experience is a plus.
