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Machine Learning & Data Analytics (Build the Business Engine) Design, build, and validate predictive models end to end - for example churn prediction, Customer Lifetime Value (LTV), and demand or behaviour…
Leads a team to build and maintain Prudential Malaysia’s data lake and enterprise data model on Azure, enabling analytics, AI, and regulatory reporting while ensuring governance and compliance.
Build AI-powered contact-center and agentic workflows using AWS, LangGraph, and vector databases, deploying scalable GenAI solutions for fintech customer engagement.
Build and deploy ML models for lending, credit risk, and portfolio performance on Azure/AWS, turning financial data into actionable insights for MA Financial Group.
Build and optimize AI/ML and data pipelines for a sensor-fusion system, focusing on real-time processing, CI/CD, and MLOps to support an autonomous team in Sydney.
Principal AI/Data Engineer designs and builds enterprise-scale data and AI solutions on Databricks and cloud platforms, while leading client engagements and translating complex tech into business value for executives.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data warehouses, and AI/ML platforms to create reusable datasets and enable customer-centric analytics and AI solutions.
Build and maintain data pipelines and MLOps frameworks in Azure to support healthcare customer analytics and propensity models for personalized marketing campaigns.
Build and productionize healthcare analytics pipelines on Azure, migrating legacy systems and implementing MLOps for propensity models to personalize insurance offerings.
Designs scalable data pipelines and AI-ready systems using Databricks, Spark, and Python to enable retrieval-augmented generation (RAG) and AI capabilities.
Build and optimize AI-ready data pipelines and retrieval systems using Databricks, Spark, and Python to power generative AI features like RAG and vector search for fintech comparison platforms.
Owns Kubernetes infrastructure, CI/CD pipelines, and data-platform reliability for an agency that builds digital products, ensuring SLAs for Airflow pipelines and containerized workloads.
Leads MLOps-driven data platforms, deploys ML frameworks, and designs scalable ML architectures while coordinating data scientists.
Build, train, and deploy ML models in Python using TensorFlow/PyTorch to solve business problems and maintain production systems.
Lead the architecture and delivery of backend and AI/ML systems, design data pipelines, and guide the team through productionization and scale using Python, FastAPI, and MLOps.
Lead a small team to architect, build, and productionize AI/ML and backend systems, turning data science experiments into reliable services and setting engineering standards.
Designs and maintains scalable data pipelines and cloud-native platforms to ensure reliable, high-quality data for analytics, BI, and AI use cases using SQL, Python, and Azure.
Senior Data Engineer builds and maintains Azure-based data pipelines, warehouses, and lakehouses to power analytics and AI workloads using PySpark, Azure Synapse, and ADF.
Build and deploy AI agents and copilots using Microsoft AI Foundry and Fabric, integrating RAG patterns with enterprise data to accelerate AI use cases for a logistics-focused enterprise.
Build and maintain CI/CD pipelines, Kubernetes clusters, and multi-cloud infrastructure for enterprise systems in Abu Dhabi, using tools like Terraform, Jenkins, and Prometheus.
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