AI/ML Engineer

Key Responsibilities

Development (Python Full-Stack)
•    Develop and maintain Python-based AI services and components for:
•    LLM integration, RAG services, prompt management, and basic evaluation frameworks
•    Data processing pipelines, feature stores, and retrieval systems
•    Text-to-SQL services and API integrations
•    Implement REST APIs using FastAPI/Flask and integrate with frontend components (React/TypeScript) 
•    Contribute to microservices architecture and ensure code quality, performance, and reliability
Model Implementation and Deployment
•     Support the technical implementation from PoC → MVP → production with guidance from senior engineers 
•    Develop and maintain CI/CD pipelines for Python services and ML models 
•    Implement automated testing, model validation checks, and basic monitoring solutions 
•    Deploy models and services on Kubernetes/OpenShift environments 
•    Create and maintain technical documentation and deployment guides
Security, Risk & Compliance
•    Implement security best practices in code: input validation, secure API endpoints, data handling 
•    Integrate security scanning tools (SAST/DAST) into development workflows 
•    Follow established patterns for data privacy, access controls, and audit logging
•    Support compliance requirements through automated testing and documentation

Operations & Monitoring
•    Implement monitoring and logging using established frameworks (OpenTelemetry, Prometheus) 
•    Develop health checks, performance metrics, and basic alerting systems 
•    Support production troubleshooting and incident response 
•    Optimize model inference performance and resource utilization 
•    Maintain operational runbooks and support procedures.
People & Stakeholder Management
•    Collaborate with senior engineers, data scientists, and platform teams on technical solutions 
•    Contribute to code reviews, technical discussions, and knowledge sharing sessions
•    Follow established coding standards, documentation practices, and development processes within bank 
•    Stay current with AI/ML technologies and contribute to use cases and ideas
•    Support junior team members through pair programming and technical guidance
Strategy
•    Understanding of AI CoE technical direction and ability to contribute to engineering solutions
Business 
•    Technical knowledge of AI model applications and their integration within banking systems
Processes  
•    Hands-on development and maintenance of Machine Learning/GenAI models and supporting services
People & Talent 
•    Mentoring junior developers and contributing to team knowledge sharing

Risk Management 
•    Implementation of established ML model controls and monitoring systems
Governance 
•    Following Responsible AI practices and contributing to compliance automation
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
•    CIB AI COE

Qualifications

Education
•    Bachelor’s degree (or above) in Computer Science, Computing engineering, Mathematics, or a related field.
Languages
•    English