Generative AI Scientist - Build Production AI Solutions

Gen; Kampung Malaysia Tambahan; Vor Ort; MYR 180.000 - 300.000; Vollzeit

Zusammenfassung

Gen is seeking an Applied AI Scientist (Generative AI) to explore the latest AI advances and translate ideas into practical, AI-powered solutions. This hands-on role combines experimentation, development, and deployment in a fast-paced environment.

You will design and build applications, workflows, and intelligent systems, collaborating with scientists, engineers and product teams to deliver high-impact AI capabilities while upholding responsible AI practices.

Qualifikationen

• Passionate about Generative AI and emerging AI tech.
• Hands-on experience building apps with modern AI models.
• Familiar with retrieval-augmented generation (RAG) and AI orchestration.
• Strong software development and problem-solving skills.
• Able to drive projects from idea to implementation.
• Curious, adaptable and eager to learn.
• Strong cross-team communication.

Aufgaben

• Explore emerging Generative AI technologies, models, frameworks, and tools, and apply relevant innovations to practical AI-powered solutions.
• Design and develop applications, workflows, agents, and intelligent systems.
• Build and evolve AI-powered solutions from concept to production.
• Improve the quality, reliability, and effectiveness of AI-powered solutions through testing, iteration, and continuous improvement.
• Collaborate with scientists, engineers, and product teams to develop and deliver AI-powered capabilities.
• Help build reliable, high-quality, and responsible AI solutions.

Kenntnisse

Generative AI

AI development

RAG concepts

Independent work

Communication skills

Jobbeschreibung

Gen is seeking an Applied AI Scientist (Generative AI) to explore the latest AI advances and translate ideas into practical, AI-powered solutions. This hands-on role combines experimentation, development, and deployment in a fast-paced environment.

You will design and build applications, workflows, and intelligent systems, collaborating with scientists, engineers and product teams to deliver high-impact AI capabilities while upholding responsible AI practices.