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AI Engineering
Standard CharteredKuala Lumpur, Kuala Lumpur, Malaysia30+ days ago
Job descriptionChatbot Enablement : Oversee the deployment and optimization of chatbot systems. Refine chatbot outputs by improving the knowledge management system and ensuring accuracy and relevance. Collaboration : Work with platform teams to provide feedback on model improvements. Collaborate with developers and data scientists to refine algorithms. Partner with business teams to understand their needs and tailor chatbot solutions. Knowledge Management : Collaborate with specialists to maintain and update the chatbot's knowledge base. Ensure the chatbot understands context and provides meaningful responses. Data Quality Assurance : Preprocess test data, verify training data integrity, and identify issues like data bias or insufficiency. Develop Testing Strategies : Design and implement testing strategies, create automated test suites for AI / ML pipelines and APIs. Testing Generative AI Systems : Validate outputs for accuracy, consistency, and fairness. Conduct various tests and ensure ethical standards by identifying biases. Documentation and Reporting : Document test cases, procedures, and results. Analyze validation data trends to identify improvement areas. Training and Feedback : Conduct training for users, gather feedback for improvements. Monitoring and Reporting : Monitor performance metrics and report to stakeholders. Oversee standards and provide technical assistance. Responsible for code quality and aligning with domain strategies. Focus on capability building rather than application ownership. Drive technological excellence and provide strategic leadership in Java backend expertise. Contribute to squad delivery, balance skills across teams, and evolve practices towards automation and innovation. Collaborate to meet functional and strategic goals. Processes : Promote feedback, adopt change standards, clarify roles, and build capability. People & Talent : Focus on skill development and capability growth. Risk Management : Follow standards, mitigate risks, and develop contingency plans. Governance : Ensure compliance with standards and policies. Soft Skills : Strong communication, critical thinking, analytical skills, and data interpretation. Technical Skills : Proficiency in Python or Java, testing frameworks like PyTest, familiarity with ML frameworks (TensorFlow, PyTorch), and understanding of CI / CD tools like Azure DevOps. Educational & Experience : Bachelor’s in CS or related, 2-3+ years in QA / validation roles for AI / ML, knowledge of ethical AI, ability to work in fast-paced environments.
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- This role bridges the gap between platform teams and business teams, focusing on enabling chatbot functionality, refining outputs from knowledge management systems, and fostering collaboration. This role is crucial for leveraging generative AI technologies to ensure that the systems are reliable, fair, and aligned with user expectations.
- Advocate for the adoption of cutting-edge AI technologies and frameworks, driving the evolution of backend practices to meet future challenges.
Key Responsibilities
Additional Responsibilities
Strategy & Business
Skills and Experience
Qualifications
About Standard Chartered
We are an international bank committed to making a positive impact, valuing diversity, and fostering an inclusive environment. Our purpose is to drive commerce and prosperity through our unique diversity, and we uphold our values through our behaviors.
We offer competitive salaries, benefits, flexible working, wellbeing support, continuous learning opportunities, and a culture that celebrates diversity and inclusion.
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Engineering • Kuala Lumpur, Kuala Lumpur, Malaysia
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