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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.
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 purpose of the analytics engineer is to design, build, and optimize data models and analytics workflows that enable accurate, timely, and actionable insights across the business. This role bridges the gap between data engineering and analytics, ensuring that data is transformed into well-structured, reliable datasets for reporting, visualization, and advanced analytics.
We are looking for a Business Analyst with a strong interest in the insurance industry to support digital transformation projects. The role requires analytical skills and the ability to work collaboratively in a dynamic team environment.
As a Recruitment Consultant at Michael Page, you will play a pivotal role in connecting top talent with leading companies, fostering strong client relationships, and guiding candidates in their career development.
As an AI Engineer in the financial services industry, you will play a crucial role in developing and implementing AI-driven solutions to improve operational efficiency and decision-making. This temporary position offers a unique opportunity to work in a fast-paced environment and contribute to cutting-edge technological advancements.
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