Roles & Responsibilities
What You’ll Do :
AI Solution Development
- Conduct exploratory data analysis to extract insights and patterns that inform AI model design and development
- Perform data cleaning, validation, and transformation (feature engineering) required by AI models
- Design, develop, and evaluate AI models to address specific business needs
AI Deployment and Operations
Deploy AI models into production environments, ensuring scalability, reliability, and performanceImplement and maintain model monitoring systems to track performance metrics and identify when models require retraining or adjustment.Maintain reusable central feature store for AI model training and deploymentImplement automated pipelines for model training, validation, and deployment, adopting fit-for-purpose industry practicesStakeholder Engagement
Collaborate with cross-functional teams (e.g. data engineers, IT consultants, business users) to achieve project outcomePresent outputs from business analyses to HPB stakeholders, to translate data-driven insights into programme design and deliveryRequirements :
Minimum 3 years of working experience in data science or developing AI / ML, including experience wrangling data in cloud-based analytics platforms and tools (e.g. Microsoft Azure, Databricks, Spark Ecosystems)Must be proficient in Python and possess adeptness with large-scale datasets.Bachelor / Master / PhD in Analytics, AI / Data Science, Computer Science, Engineering or Information Systems with major / project experience in data science and / or business analytics from a recognised university.o Professional certifications in business analytics / data science / ML engineering from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines, are also acceptable for the position
Adaptive in a fast-paced matrix environment, overseeing multiple projects concurrently within an agile environmentPossesses strong problem resolution, attention to detail and effective communication skills to manage and deliver complex projects involving internal and external stakeholdersTell employers what skills you have
Tableau
Machine Learning
Microsoft Azure
Data Analysis
Big Data
Natural Language Processing
Artificial Intelligence
Agile
ETL
Cleaning Validation
Databricks
Stakeholder Engagement
Data Mining
SQL
Python
Business Analytics
Data Science
Data Analytics
Data Visualization