Principal AI Engineer

at  Standard Chartered

JOB SUMMARY

• As a Principal AI 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, machine learning standardization, GPU and cloud platform setup, and data integrations. Your expertise will be pivotal in ensuring the scalability, reliability, and efficiency of our AI solutions

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

KEY RESPONSIBILITIES:

• Platform Development: Lead the design and development of a scalable AI platform, ensuring high performance and reliability.
• MLOps: Implement and optimize MLOps practices to streamline the machine learning lifecycle, from development to deployment and monitoring.
• Standardization: Establish and enforce best practices for machine learning model development, testing, and deployment.
• Infrastructure Setup: Oversee the setup and management of GPU and cloud platforms to support AI workloads.
• Data Integration: Design and implement robust data integration pipelines to ensure seamless access to diverse data sources.
• 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.

ROLE SPECIFIC TECHNICAL COMPETENCIES

• Hands on with AI platform Development
• Hands on with ML framework, best practices and ops implementation
• Hands-on experience with GPU computing and optimization for AI workloads
• Experience with design and implementation of robust data integration pipelines
• Programming languages such as Python, Java, or C++.