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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.
This position is responsible for preparing and generating reports, performing data analytics, and maintaining data for internal and external stakeholders.
We are looking for a talented BI Developer with strong expertise in Power BI, SSAS, and SQL to join a dynamic team in the Digital Enterprise Application Services unit. This role, based in Causeway Bay, focuses on building enterprise-grade BI solutions, optimizing SSAS Tabular models, and delivering actionable insights to drive business decisions.
Our client is a well-known Investment Bank with global presence. Currently, they are hiring for a Client Risk Analyst to join their private banking division as the first line of defence, ensuring strong risk controls and compliance.
The role of Data Engineer/ Architect involves designing, developing, and maintaining data pipelines to support analytics and decision-making processes. This position requires both communication and technical skills. Thie person would work closely with business users to understand requirements while collaborate closely with cloud ionfrastructure team to design roadmap and blueprint on enterprise-wise data architecture.
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