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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.
Join as an AI Engineer in the industrial/manufacturing industry and contribute to the development of innovative technology solutions. This role focuses on implementing artificial intelligence systems to enhance operations and drive efficiency.
The Solutions Engineer will lead the end‑to‑end design and delivery of AI and GenAI solutions across enterprise environment.The role involves creating scalable, secure AI components, ensuring alignment with Enterprise Architecture, and integrating solutions into complex legacy systems.
The QA Manager / QA Lead will oversee quality assurance processes to ensure software and systems meet high standards before deployment. This role requires strong expertise in the Technology & Telecoms industry, with a focus on delivering exceptional results in a fast-paced environment.
The Technology Centre Leader (Shared Services) will oversee and drive the strategic direction, operations, and performance of the centre within the business services industry. This leadership role requires expertise in technology and a strong ability to manage teams and deliver results.
This is an exciting opportunity for a Data Scientist to contribute to the Technology & Telecoms industry by leveraging data to drive innovation and decision-making. The role focuses on utilizing analytical skills and technical expertise to support the company's technological advancements.
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