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Principal Research Scientist - Language & Reasoning for Embodied AI
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AI Summary
Key Highlights
End-to-end AI solution ownership from build to production operation
Focus on agentic/generative AI, MLOps, and production reliability
Hybrid role in Malaysia with APAC travel for client work
Key Responsibilities
Design and build agentic/generative AI systems (e.g., agents, retrieval-augmented generation, copilots)
Deploy and monitor AI solutions in production, ensuring reliability, security, and auditability
Select and benchmark frontier/open-weight models based on capability, cost, latency, and compliance
Own deployment pipelines (containerization, orchestration, CI/CD, model serving, inference infrastructure)
Manage production run-state (monitoring, observability, drift detection, retraining, incident response)
Define and enforce operational standards, service-level objectives, and release gates
Embed security/controls (prompt-injection defenses, sandboxing, data-leak prevention, audit trails)
Collaborate with data engineers on AI-ready data pipelines and governance
Mentor junior engineers and shape engineering standards for the practice
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Technical Skills Required
Benefits & Perks
Hybrid work model (Malaysia-based with APAC travel)
Potential work-authorization sponsorship (eligibility-dependent)
Mentorship and team development opportunities
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Nice to Have
Experience with healthcare/life sciences AI applications
Cross-sector expertise (technology, real estate, industrials, private equity)
Proven track record in scaling AI solutions for consulting environments
Job Description
CFGI is establishing its Data & AI build team in APAC and is seeking a hands-on Artificial Intelligence Engineer for a build-and-run role. This Manager-level position involves designing and building agentic and generative AI solutions while owning the machine-learning-operations (MLOps) layer—including deployment, monitoring, evaluation, and production reliability.
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