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AI Model Architect

2 weeks ago

Singapore beBeeGenerativeAIEngineer Full time $120,000 - $250,000
Job Description

Talent Strategy Architect | APAC Direct Sourcing Leader | Transforming TA into a Strategic Business Lever for High-Growth & Tech-Driven Enterprises. Our organization is building the next generation of immersive digital experiences and a new Generative AI core group. This is a greenfield opportunity to contribute from the ground up with access to massive computational resources and unique datasets.

The Opportunity: This is a frontier role in AI where you will work alongside leading experts, have direct ownership, and shape the future of the platform.

You will act as a linguistic architect, crafting the dialogue between humans and our most advanced AI models to create intuitive, powerful, and safe user experiences.

Responsibilities
  • Key Responsibilities Include:
  • Design, test, and optimize sophisticated prompt strategies for multimodal (text, image, 3D) generative models. Develop systematic frameworks for prompt evaluation, safety, and creativity.
  • Collaborate directly with research scientists to refine model behavior and with product designers to define the future of human-AI interaction.
  • Build the production backbone for the next generation of AI. Scale groundbreaking research models into reliable, efficient, high-performance production systems.
  • Architect and maintain end-to-end infrastructure for training, fine-tuning, and serving massive generative models (LLMs, diffusion). Implement robust MLOps/LLMOps pipelines on a modern cloud infrastructure.
  • Optimize inference latency and cost for scale. Work with cutting-edge hardware and software stacks designed for AI.
Qualifications
  • Bachelor's degree in Computational Linguistics, Computer Science, Cognitive Science, or related field OR Ph.D. in Computer Science, AI, ML, or a related field (dissertation focused on generative models).
  • Minimum five (5) years of experience in MLOps, Software Engineering, or DevOps, with at least two (2) years focused on productionizing generative AI or large-scale deep learning models OR post-graduate research experience in machine learning.
  • Deep, hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Preferred: Post-graduate research experience in machine learning with a strong publication record at premier conferences.
  • Deep experience with deep learning frameworks such as PyTorch or JAX.
  • Experience with large-scale generative AI models (LLMs, GPT, diffusion, etc.).
Benefits
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Science and Information Technology
  • Industries: Technology, Information and Media and Research Services