AI Engineer

Designs and implements AI solutions, integrating machine learning models into production systems. Bridges AI research and practical application, requiring strong software engineering skills.

This AI Engineer role in Kuala Lumpur is a hands-on builder responsible for designing, developing, and deploying AI and Generative AI solutions for clients. The role involves building and deploying AI/ML solutions from PoCs to production, leveraging LLMs, RAG, embeddings, and AI agents, and working with cloud platforms like GCP, Azure, or AWS. The ideal candidate has strong Python skills, experience with ML/AI frameworks, and familiarity with MLOps/LLMOps practices.

This role partners directly with enterprise customers to design, build, and deploy AI systems that deliver measurable business outcomes. The engineer works hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators, making decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. They also diagnose complex implementation challenges, help customers progress from prototypes to production, and create reusable architectures and playbooks.

This role focuses on designing, integrating, and deploying AI solutions for enterprise customers, handling technical challenges from implementation to production. It requires close collaboration with clients to ensure successful deployment and operation of AI systems.

Diese Rolle umfasst die Beratung von Kunden zu Data-Governance-Strategien, einschließlich Datenqualität, Compliance und Datenmanagement-Frameworks. Erforderlich sind starke Consulting-Fähigkeiten und Expertise in Data-Governance-Tools.

Diese Rolle spezialisiert sich auf die Entwicklung von Machine-Learning-Modellen für Zeitreihenanalyse und Forecasting. Erforderlich sind tiefgehende Expertise in statistischen und ML-Methoden für zeitabhängige Daten.

Diese Rolle umfasst die Leitung der Entwicklung und Durchführung von fortgeschrittenen Data- und KI-Trainingsprogrammen. Erforderlich sind umfangreiche Erfahrung in Data Science und Bildung.