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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.
The AI Solutions Engineer has overall responsibility for developing and implementing artificial intelligence solutions to solve complex problems and enhance business operations. The successful candidate will work cross-functionally; operating between the business stakeholders, technology teams, and data scientists, to ensure that final solutions meet requirements.
You will join as a Data Platform Engineer joining a team of committed data specialists. As our data strategy begins to take shape, we want to use our data to improve all our business processes and that means allowing our teams to experiment and innovate as they deem fit. Within data platform engineering, this translates to building the frameworks and tooling data engineers, analysts and scientists utilise, enabling platform users to focus on value delivery.
We are seeking a technically adept and client-focused Sales Engineer to join a digital solutions provider under a prominent engineering group, specializing in AI-driven technologies for the building construction sector. This role offers a unique opportunity to support digital transformation across high-impact public infrastructure projects.
Analyse Business requriement and I.T. requirement. Strong in data and process understanding.
Develop and maintain data process and lineages of reporting metrics. Implement Data Sourcing and Management controls for regulatory reports of HKMA.
Collect, analyze, and interpret complex data sets, helping organizations make strategic choices. By identifying trends, patterns, and insights, you will facilitate improved efficiency and performance.Requires strong analytical skills, critical thinking, and effective communication to convey findings effectively.
The role involves serving as the primary liaison with users for gathering requirements, coordinating with clients, supporting testing activities, and contributing to systems and application development for a large-scale project with the Hong Kong Government.
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