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The Data Scientist Specialist will design, build, and deploy advanced AI, machine learning, and generative AI models-leveraging large datasets, cloud technologies, and LLM frameworks to deliver impactful insights and smart business solutions.They will collaborate across product and engineering teams, mine complex data, and drive innovation through cutting‑edge techniques including agentic AI, prompt engineering, and autonomous systems.
The Data Science Manager will lead the analytics team in developing innovative data-driven solutions and strategies to support business objectives. This role is ideal for an experienced professional passionate about leveraging data science in the insurance industry.
The MLOps Integration Engineer will play a key role in developing and deploying machine learning models, ensuring seamless integration with existing systems in the financial services industry. This position is based in Kuala Lumpur and focuses on optimizing workflows and enhancing operational efficiency.
The Lead Data Scientist will drive data-driven decisions by leveraging advanced analytics, machine learning, and artificial intelligence techniques. This role is pivotal in leading a team to develop innovative solutions in the Technology industry
The Data Scientist analyzes data and builds predictive models to guide business decisions, developing and deploying machine learning for customer retention, lead generation, cross-selling, and fraud detection.
The role of Data Scientist in the Technology & Telecoms industry involves analyzing and interpreting complex data to provide actionable insights. This position requires expertise in data analysis, machine learning, and statistical modeling to support decision-making processes.
Head of Engineering-Core Banking Platform will oversee the design, development, and implementation of innovative solutions within the lending domain in the FSI industry. This role requires a forward-thinking leader capable of driving technical excellence and aligning engineering strategies with business objectives.
The Data Analytics Manager role in the healthcare industry involves leading data-driven strategies and delivering actionable insights to improve decision-making processes. This position based in Selangor requires expertise in data analytics and leadership to drive impactful outcomes.
Take the lead in driving AI transformation initiatives within a leading player in the industrial and manufacturing sector. This role is based in Kuala Lumpur and is perfect for a forward-thinking professional passionate about leveraging technology to optimize processes and drive innovation.
This role offers the opportunity to work at the intersection of data governance, Microsoft 365, and Generative AI, contributing directly to modernization efforts that support large‑scale business operations. Experience in enabling M365 Copilot and GenAI capabilities is compulsory.
This role partners with AI startups to design, deploy, and scale advanced AI workloads on a global cloud platform. You will act as a trusted technical and commercial advisor, driving adoption from proof-of-concept to full production.
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