HSBC

1 month ago

Consultant Specialist (Guangzhou, GD, CN, 510620)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: Just nowStatus: Live

Job Summary

Join HSBC CTO Data Technology as Consultant Specialist to design, build, and operate ML platform capabilities across GCP and on-prem Kubernetes. You will implement CI/CD patterns for ML workloads, orchestrate pipelines with Airflow, manage MLflow tracking and model registry, and ensure reliable, secure, observable platform services for scalable ML deployments.

Location: Guangzhou

Workplace: Hybrid

Job Function: Consulting & Advisory

Key Responsibilities

•Platform engineering: Design, build, and operate core MLOps platform capabilities across GCP and on-prem Kubernetes (multi-environment, multi-tenant where required).
•Workflow orchestration: Engineer and support ML pipelines using Airflow (DAG standards, scheduling, retries, backfills, dependency management, operational runbooks).
•Experiment tracking & model registry: Operate and extend MLflow (tracking, artefact storage, model registry, environment promotion, access controls, retention).
•Model serving & batch scoring: Provide platform patterns for batch scoring and near-real-time scoring with low latency and autoscaling.
•Observability & reliability: Implement monitoring and alerting for platform and model services (SLIs/SLOs, dashboards, logging, tracing) and lead incident response improvements.

Pay and Benefits

Perks:Flexible WorkingLearning Budget

Key Requirements

•Strong software engineering skills (typically Python and Flask; plus one of Java/Go/Scala/Shell is beneficial).
•Hands-on experience building MLOps platforms or shared ML enablement tooling (not just single-model deployments).
•Strong experience with Kubernetes (deployments, services/ingress, configmaps/secrets, autoscaling, resource management, troubleshooting).
•Experience with GCP services relevant to ML platforms (e.g., GCS, IAM, networking, logging/monitoring; plus GKE/Cloud Build where used).
•Proven experience operating MLflow (tracking + registry) and integrating it into release/promotion workflows.

Experience:BankingFinance

Skills:PythonFlaskJavaGoScalaShellKubernetesAirflowMLflowGCPCloud BuildGCSIAMRBACCI/CDObservabilitySecurity

Tech Stack:PythonFlaskJavaGoScalaShellKubernetesAirflowMLflowGCPGCSIAMRBACCI/CDCloud BuildEKSSRESecurity

Company Brief

HSBC

Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn

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HSBC

1 month ago

Consultant Specialist (Guangzhou, GD, CN, 510620)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: Just nowStatus: Live

Job Summary

Location: Guangzhou

Workplace: Hybrid

Job Function: Consulting & Advisory

Key Responsibilities

•Platform engineering: Design, build, and operate core MLOps platform capabilities across GCP and on-prem Kubernetes (multi-environment, multi-tenant where required).
•Workflow orchestration: Engineer and support ML pipelines using Airflow (DAG standards, scheduling, retries, backfills, dependency management, operational runbooks).
•Experiment tracking & model registry: Operate and extend MLflow (tracking, artefact storage, model registry, environment promotion, access controls, retention).
•Model serving & batch scoring: Provide platform patterns for batch scoring and near-real-time scoring with low latency and autoscaling.
•Observability & reliability: Implement monitoring and alerting for platform and model services (SLIs/SLOs, dashboards, logging, tracing) and lead incident response improvements.

Pay and Benefits

Perks:Flexible WorkingLearning Budget

Key Requirements

•Strong software engineering skills (typically Python and Flask; plus one of Java/Go/Scala/Shell is beneficial).
•Hands-on experience building MLOps platforms or shared ML enablement tooling (not just single-model deployments).
•Strong experience with Kubernetes (deployments, services/ingress, configmaps/secrets, autoscaling, resource management, troubleshooting).
•Experience with GCP services relevant to ML platforms (e.g., GCS, IAM, networking, logging/monitoring; plus GKE/Cloud Build where used).
•Proven experience operating MLflow (tracking + registry) and integrating it into release/promotion workflows.

Experience:BankingFinance

Skills:PythonFlaskJavaGoScalaShellKubernetesAirflowMLflowGCPCloud BuildGCSIAMRBACCI/CDObservabilitySecurity

Tech Stack:PythonFlaskJavaGoScalaShellKubernetesAirflowMLflowGCPGCSIAMRBACCI/CDCloud BuildEKSSRESecurity

Company Brief

HSBC

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn