Senior Consultant Specialist, HSBC

HSBC

Location:
Mainland China, Xi'an

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Senior AI/Machine Learning Engineer includes all SDLC lifecycle and adopt DevOps & Agile best practices to build up the future applications & platforms in machine learning domain and automation domain. Candidate(s) are expected to work effectively to lead a Team, collaborate with management team and/or other development teams across borders, work effectively under pressure.

Job Responsibility:

Senior AI/Machine Learning Engineer includes all SDLC lifecycle and adopt DevOps & Agile best practices to build up the future applications & platforms in machine learning domain and automation domain
Work with Business team to understand the requirement and prepare/interpret business design document if required, develop technical specification documents and/or develop system accordingly
Design, Build and Deploy the machine learning application & platform, leading the capability and feature roadmap, and providing support to the existing solution and products
Work closely with both local and offshore teams on the development and ensure successful project delivery with good quality and align to HSBC change management and release process
Apply Devops practise and tooling in the daily development activities and align to HSBC IT engineering standards
Proposal improvement suggestion on project deliveries
Create and maintain technical documentation using defined technical documentation templates
Work stream(s) independently in a reasonable timeframe in case of project need
Drive for the problem resolving to meet the service SLA or project timeline

Requirements:

Candidate should hold a university graduate certificate majored in IT or equivalent experience
A minimum 8 years of significant working experience in software design, development and testing, as well as relevant IT development, in a global environment
Strong machine learning / AI capabilities and end to end machine learning solution design & development capabilities, plus Environment / Devops capabilities
Proficient in both Java and python programme language and related development framework, include but not limit to Python Core, Numpy, Pandas, Sk-learn, Tensorflow, Pytorch, Flask, Django, preferably with experiences in large scale Microservices application
Proficient in machine learning / AI knowledge in different area (Data Cleaning, EDA, Machine Learning, Deep Learning, CV, NLP, Financial related Machine Learning), Capabilies on the end to end ML / AI solution delivery, including ML model building, serving, performance monitoring and tuning, plus cognitive application development and deployment
Experience ML ops, understand ML ops concept, tooling and practise
Be able to explore new ML technologies from variety channel to meet the business requirement or techinical search, acadamy ML paper reading capabilities is a plus
Experience on database, PL/SQL and query performance turning. NoSQL experience is a plus
Experience on Linux based system and Middleware (WAS Liberty, MQ, Container - K8S, Docker), Adminitration knowledge is a plus
Experience on Cloud based application design, development, engineering practise of external cloud provider (GCP, AWS, Ali Cloud), including NFR features like logging, resilience
Understand DevOps and Agile practices, experiences with CI/CD solutions. Have relevant Devops tooling experience (Ansible, Jenkins, TerraForm) and be able to setup pipeline using those tools is a plus
Good communication in spoken and written English and Mandarin
A good team player with strong analytical/troubleshooting skills, and self-motivated
Experience on Java / Frontend development is a plus
PHD degree, it will be an advantage

Nice to have:

Experience on Java / Frontend development
PHD degree

What we offer:

Continuous professional development
Flexible working
Opportunities to grow within an inclusive and diverse environment

Additional Information:

Job Posted:
July 12, 2025

Expiration:
September 11, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Consultant Specialist