Job Summary

•    Experience in applying machine learning/deep learning  , Gen AI and Agentic AI 
•    Strong analytical and problem-solving skills
•    Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ etc
•    Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies
•    Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques
•    Proven ability to apply, debug, and develop machine learning models
•    Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation,
•    Choose suitable DL algorithms, software, hardware and suggest integration methods. 
•    Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards
•    To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery
•    Coach and mentor our team as we build scalable machine learning solutions
•    Strong communication skills and an easy-going attitude
•    Oversee development and implementation of assigned programs and guide teammates
•    Carry out testing procedures to ensure systems are running smoothly
•    Ensure that systems satisfy quality standards and procedures
•    Build and manage strong relationships with stakeholders and various teams internally and externally,
•    Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders

Key Responsibilities

Business
•    Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. 

Processes
•    Design and Delivery of AI ML Use cases
•    RAI, Security & Governance
•    Model Validation & Improvements
•    Stakeholder Management

Governance
•    Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. 

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.
Key stakeholders
•    Business Stakeholders
•    AIML Engineering Team 
•    AIML Product Team 
•    Product Enablement Team
•    SCB Infrastructure Team
•    Interfacing Program Team

Qualifications

•    Masters with specialisation in Technology with certification in AI and ML
•    2 - 7 years relevant of Hands-on Experience in developing and delivering AI solutions