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The Opportunity: This role sits within the Marketing function of Manulife Insurance Berhad and partners closely with business leaders to identify, shape and deliver AI-enabled opportunities that improve employee…
Embed within client teams to design and deploy scalable data platforms, ML pipelines, and GenAI workflows using Python, Spark, and cloud-native tools.
Build and lead CBA’s next-gen digital wealth platform using .NET, ASP.NET Core, React, and Next.js, designing scalable cloud-native services and APIs for mass-affluent customers.
Build secure, scalable digital banking platforms using .NET Core, React/Next.js, AWS, and DevSecOps; lead architecture and mentor engineers while driving modernization and AI/GenAI adoption.
Build and deploy enterprise-grade AI agents and multi-agent systems using Python, LangChain/LangGraph, and RAG architectures for scalable copilots and automation.
Build and demo AI-powered web/mobile prototypes in days using React/Next.js, turning abstract AI features into intuitive user experiences for stakeholders.
Builds production-grade AI applications (chatbots, RAG, agents) by refactoring prototypes into scalable, secure, and observable solutions using Azure AI services, full-stack tech (React/TypeScript, Python, .NET), and responsible AI patterns. Bridges business needs with engineering teams to accelerate AI adoption while ensuring governance, compliance, and maintainability.
Build and deploy ML models that optimize hotel pricing using forecasting, reinforcement learning, and experimentation systems, turning data into revenue decisions.
Build full-stack GenAI agent products using Python/FastAPI and React/TypeScript, orchestrating LLM workflows with LangChain/LangGraph and deploying on cloud platforms.
Build and deploy production-grade agentic AI and LLM applications for APAC enterprises, including RAG pipelines, multi-agent systems, and ML services across cloud and air-gapped environments.
Build and scale AI-driven features for iGaming, including generative AI, voice AI, agentic systems, and RAG pipelines using Python, LLMs, and cloud infrastructure.
Principal AI Data Engineer builds and deploys GenAI, RAG and agentic AI prototypes using Azure AI Foundry, Databricks Mosaic AI and LangChain on Azure cloud.
Build and maintain full-stack web apps in TypeScript/Java/Node.js with AI integrations using LLMs, RAG, and vector databases to modernize lending workflows.
Build and deploy AI/ML solutions for legal and enterprise clients using Python, TensorFlow/PyTorch, and cloud platforms like Azure/AWS.
Build and deploy production-grade AI and ML solutions in Python for consumer lending, using cloud platforms and MLOps tooling to drive value for millions of banking customers.
Lead a team building generative AI assistants and agents using Python, FastAPI, and frameworks like LangChain; deploy on AWS with CloudFormation and GitHub Actions.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Build and deploy production-grade AI and ML solutions in Python for consumer lending, taking models from experimentation to live systems on cloud platforms.
Build and deploy LLM-powered agents and RAG systems using Python, FastAPI, and vector databases; optimize token costs and model performance for scalable AI applications.
Build full-stack AI applications that integrate generative AI, RAG, and agentic workflows using .NET, Python, Blazor, and React, delivering secure, scalable enterprise solutions.
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