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In this role, you'll be responsible for designing, developing, and maintaining scalable AI systems using machine learning and data-driven approaches. You'll integrate ML models into production-ready AI solutions while collaborating closely with data scientists, software engineers, and product teams. Monitor and optimise model performance, contribute to AI architecture and deployment, and stay current with the latest AI/ML research and technologies.
To streamline the deployment, monitoring, and maintenance of machine learning models in production. Your role will be pivotal in ensuring the scalability, reliability, and efficiency of Machine Learning applications, including adapting modular deep learning models to meet evolving business needs.Proficiency in Python, model governance, serving, and monitoring, along with familiarity with automated data pipeline tools, will be highly advantageous.
The ideal candidate will have a strong background in data analysis, machine learning, and data visualization using tools like Python, Power BI, and Tableau. The role involves developing and deploying machine learning models, applying predictive and prescriptive analytics, and creating data-driven insights to address business challenges
The role involves analyzing business needs and translating them into functional solutions to deploy machine learning models and optimize their performance.Candidates should have experience in data science, strong problem-solving skills, and the ability to work effectively in cross-functional teams.
We are seeking a highly skilled and motivated DevOps Engineer to join our Group Data function. This role is instrumental in advancing our cloud infrastructure strategy, with a focus on automation, scalability, and security. The successful candidate will work collaboratively with solution architects and cross-functional teams to ensure the seamless deployment and operation of technology solutions within our AWS environment.
This role focuses on designing and delivering enterprise-grade BI solutions using Power BI and SSAS Tabular models. It combines data integration, performance optimization, and governance to support scalable, secure, and insightful analytics across the organization. The job location is base in Causeway Bay.
You'll focus on building, deploying, and scaling agentic AI systems-autonomous, goal-driven AI agents that augment decision-making, automate complex workflows, and deliver actionable insights across our risk & compliance platforms.
Develop and maintain data process and lineages of reporting metrics. Implement Data Sourcing and Management controls for regulatory reports of HKMA.
We are looking for an experienced Senior Data Analyst with 4-5 years of expertise in analyzing insurance customer data. This role will lead advanced analytics initiatives, provide actionable insights to optimize customer experience, and support strategic decision-making across underwriting, claims, and marketing functions.
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