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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
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.
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.
We're looking for an experienced software engineer who is eager to build smarter systems by pairing technical expertise with emerging AI tools. You don't need to be an AI researcher-but you do need hands-on experience applying generative AI tools to real-world development workflows.
As a Business Analyst in the insurance industry, you will play a key role in bridging the gap between business needs and technology solutions. This temporary position in Hong Kong requires a detail-oriented professional with a passion for delivering effective solutions.
We're seeking creative, resourceful people to join our fast-growing organisation, where you'll have the opportunity to develop your skills and contribute to a culture of continuous learning.
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.
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