Gen AI Full stack

Job Description

MY | Gen AI Full stack PLS NOTE : This is an On site position for Malaysia Location. Industry : Banking Experience : Min 8 years of experience Max Salary Budget 10 k RM per month Contract 1 YEAR Possibility of Extension : Yes. Location : Kuala Lumpur Job Description : Min 8 years of experience Building and deploying machine learning models to detect and prevent financial crimes, achieving a measurable reduction in fraud losses for Standard Chartered. Implement Generative AI solutions to generate synthetic data for training, improving model accuracy by at least 15% in FinCrime and Compliance use cases. Mentor and guide a team of machine learning engineers and data scientists, fostering a culture of technical excellence and innovation within the FinCrime and Compliance domain. Lead a team to deliver production-ready ML pipelines within 6 months, integrating real-time transaction monitoring for anti-money laundering (AML) compliance. Optimize feature engineering and model tuning to increase detection rates of suspicious activities Roll out scalable ML systems that process millions of transactions daily, reducing false positives in compliance alerts Drive the adoption of advanced ML algorithms to identify sanctions evasion patterns, cutting investigation times for compliance teams. Deliver quarterly reports showing improvements in key FinCrime KPIs, such as alert accuracy and case resolution speed, to senior management. Execute A/B testing on ML-driven compliance tools, achieving a statistically significant boost in operational efficiency Hands-on experience with LLMs techniques (e.g., RAG, Agents, Graph RAG) to improving FinCrime detection accuracy. Expertise in model optimization and hyperparameter tuning to achieve high precision and recall in fraud detection and compliance applications. Advanced understanding of statistical methods and anomaly detection algorithms to identify suspicious patterns in financial data. Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: Up to ₹2,100,000.00 per year Work Location: In person