Job Summary

As an AI Ops Engineer, you will play a critical role in the design, development, and deployment of AI platform. You will work collaboratively with a cross-functional team, focusing on MLOps, LLMOps, cloud and on-prem platform setup, and data catalogue management. Your expertise will be pivotal in ensuring the scalability, reliability, and efficiency of our AI solutions

Key Responsibilities

•    MLOps: Implementing and optimizing MLOps practices to streamline the machine learning lifecycle, from development to deployment and monitoring.
•    LLMOps: Managing operations for large language models, including development, deployment and monitoring.
•    CI/CD/CT/CM: Developing and maintaining continuous integration, deployment, testing, and monitoring pipelines.
•    Standardization: Establish and enforce best practices for machine learning model development, testing, and deployment.
•    Infrastructure Setup: Oversee the setup and management of cloud and on-prem platforms to support AI workloads.
•    Domain Design and Catalog Implementation: Designing and maintaining domain models and data catalogs.
•    Model Registry and Cataloging Layer: Developing and maintaining systems for registering and cataloging AI models.
•    RAI Automation: Implementing and automating Responsible AI (RAI) practices for ethical AI development.
•    Governance Dashboards: Building and maintaining dashboards for governance and compliance monitoring.
•    Governance Framework and Workflows: Developing and enforcing governance frameworks and workflows.
•    Lineage Tracking and Auditing: Implementing and maintaining tools for tracking data and model lineage and auditing.
•    Risk and control library: Working with OTCR and PCA teams for AI controls as aligned with RAI principles.
•    Collaboration: Work closely with data scientists, software engineers, and platform engineers to deliver high-quality AI solutions.
•    Innovation: Stay abreast of the latest advancements in AI and machine learning, and apply this knowledge to improve our platform and processes.
•    Mentorship: Provide technical guidance and mentorship to junior engineers and team members.
 

Key stakeholders

•    TTO Management Team
•    T&A Management Team
•    CDO
•    Software Engineering Platform Teams
•    Business, Regional & Country CIOs & COOs
•    Operational, Technology & Cyber Risk 
•    Chief Data Office
•    Group and Country Compliance & Regulators 
•    Group Internal Audit
•    Group Operational Risk

Regulatory & Business Conduct 

• Display exemplary conduct and live by the Group’s Values and Code of Conduct. 
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Lead the team to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * 
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
• Serve as a Director of the Board 
• Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) 

Other Responsibilities

• Embed Here for good and Group’s brand and values in team 
• Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures
• Multiple functions (double hats)

Skills and Experience

• Hands on with AI platform development and monitoring
• Hands on with ML framework, best practices and ops implementation
• Hands-on experience with GPU computing and optimization for AI workloads
• Hands-on experience with design and implementation of sophisticated data catalogue
• Programming languages such as Python, Java, or C++.
   

Qualifications

•    Experience: 6-10 years of experience in AI and machine learning engineering, with a proven track record of delivering complex AI projects.
•    Technical Expertise: Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), MLOps tools (e.g., MLflow, Kubeflow), and cloud platforms and infrastructure as code (e.g., AWS, Azure).
•    GPU Expertise: Hands-on experience with GPU computing and optimization for AI workloads.
•    Programming Skills: Proficiency in programming languages such as Python, Java, or C++.
•    Data Engineering: Strong skills in data engineering, including data integration, ETL processes, and working with large datasets.
•    Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
•    Communication: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment.
 

• EDUCATION     ENGINEERING DEGREE OR EQUIVALENT
• TRAINING     AI, ML
• CERTIFICATIONS     AI, ML
   

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.