Lead Consultant Specialist

Key Skills

Aartificial intelligence, Agile methodologies, AWS, Continuous Integration & Continuous Delivery - CI/CD, Design, DevOps, Docker, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), NoSQL, PLSQL, SDLC

Job Description

Full stack engineering includes all SDLC lifecycle and adopt DevOps & Agile best practices to build up the future applications & platforms in automation and machine learning domain.

Full stack engineering 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. 
• 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, 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.
• Candidate(s) would be required to work stream(s) independently in a reasonable timeframe in case of project need.
• Candidate(s) would be required to 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.
• Strong machine learning / AI capabilities 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

Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.