About the Role :
Are you an experienced Data Engineer or Data Scientist eager to take on real-world challenges? Join our innovative IoT Lab, where youll play a key role in building a modern data capability from the ground up. Youll work with a highly skilled team to deliver agile proof-of-value experiments and maintain production-ready systemsboth on-premises and in the cloud.
This is a brand-new role designed to enhance the teams capabilities in Machine Learning, AI, and Data Science , working closely with internal stakeholders and clients to drive data-driven decisions and predictive insights.
Key Responsibilities :
Design and build scalable data pipelines in Azure
Build and deploy ML models, statistical algorithms, and real-time data solutions
Extract, clean, and transform data from hybrid data sources (open and closed)
Apply machine learning libraries and advanced statistical techniques
Create ingestion scripts using pySpark and work with Parquet / Delta formats
Collaborate with stakeholders and lead data workshops
Visualize insights using Power BI
Contribute to the full ML lifecycle with best development practices
Required Skills & Experience :
Strong expertise in Azure : Synapse, ADX, ADF, Event Hubs, Data Lake
Hands-on coding : Python , pySpark
Familiarity with Parquet , Delta Parquet
Experience with SQL / NoSQL , Data Architecture & Modelling
Understanding of DevOps / ML-Ops pipelines
Proven knowledge of ML algorithms, statistical models, and hypothesis testing
Exposure to AzureML , Microsoft Fabric
Good development practices : OOP , OOD , SOLID principles
MSc in Data Science, Mathematics, or related field
Data Specialist • Kuala Lumpur, Malaysia