This role could be based in China or India. When you start the application process you will be presented with a drop down menu showing all countries, please ensure that you select a country where the role is based.
As a 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 teams, focusing on MLOps & LLMops pipeline, 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.
• Responsible for designing and delivering hybrid AI Platform.
• Maintain scalable, efficient and reliable data and AI pipelines.
• Maintain MLOps and LLMOps pipeline across Databricks and on-prem clusters.
• Develop and implement AI and ML models to enhance operations and automate routine tasks.
• Monitor and analyse system performance, identifying and resolving issues proactively.
• Create and maintain documentation for AIOps processes and solutions.
• Conduct root cause analysis and implement corrective actions to prevent future incidents.
• Design, implement & maintain monitoring strategy for AI Platform across central observability.
• Ensure AI platform delivery and services meet security and risk requirements and operational SLA.
• Collaborate with data scientist, data engineers, and central data governance team to align with a standardised data strategy.
• Collaborate with other teams to integrate AIOps solutions to existing services (ServiceNow, Elk, etc)
• Cross-Collaborate with technology and architecture teams to align with best practices and standards.
• Perform code-reviews ensuring lower tech debt and avoiding spaghetti code.
• Stay up to date with industry trends, research in artificial intelligence field.
• Develop and maintain strong relations ships with internal and external stakeholders.
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.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
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
• 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 MLOps and LLMOps pipeline in Databricks and On-prem clusters.
• Experience with design and implementation of robust data integration pipelines
• Programming languages such as Python, Java, or C++.
• Education: Engineering Degree or Equivalent
• Training: AI / ML
• Certifications: AI / ML, Databricks, Azure, Terraform
• Experience: 4-6 years of experience in engineering or operation disciplines of AI Ops and ML Ops, with a proven track record of delivering complex AI projects.
• Technical Expertise: Strong proficiency in data platform (e.g. Databricks), CICD (e.g. Azure DevOps), machine learning frameworks (e.g., TensorFlow, PyTorch), MLOps tools (e.g., MLflow, Kubeflow), cloud platforms (e.g., Azure, AWS) and infrastructure as code (e.g. Terraform).
• GPU Expertise: Hands-on experience with GPU computing and optimization for AI workloads.
• Programming Skills: Proficiency in programming languages such as Python, Java, C++
• Data Engineering: Exposure to data engineering, integration, ETL and 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.
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:
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
Eligibility typically includes the qualifications and experience outlined in the job description above, with around 0-5 Years years of relevant experience expected for this role.
The key responsibilities for this role are detailed in the Key Responsibilities section above, covering the core duties expected of a AI Ops Engineer (China / India) at Standard Chartered.
This role requires around 0-5 Years years of relevant experience, as specified in the job listing. Please refer to the Qualifications & Experience section above for full details.
Skills relevant to this position are outlined in the Qualifications & Experience section above. In general, strong communication, domain knowledge, and the ability to meet role-specific targets are valued across similar BFSI positions.
You can apply directly using the Apply Now button on this page, which will take you to Standard Chartered's application process for this role.