jobs in Red Alpha Cybersecurity

全职 AI Engineer 工作, 薪水, Red Alpha Cybersecurity 公司招聘中 - Ricebowl

AI Engineer

Red Alpha Cybersecurity

Undisclosed

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

Red Alpha Cybersecurity is hiring aspiring AI Engineers who want to work on real-world AI applications, from model design and optimisation to rapid MVP development. You'll be part of a team building cutting-edge AI capabilities that power next-gen products across industries.


What You’ll Be Doing

Applied AI Engineering & Prototyping

  • Build and deploy AI-powered MVPs together with data science teams
  • Design and optimise AI models for practical, high-impact use cases
  • Apply advanced AI methods like meta-learning, prompt engineering, and in-context learning
  • Leverage tools like VLLM, Nvidia Triton, and Nvidia NIMs to deliver scalable solutions


Model Training, Optimisation & Evaluation

  • Train, fine-tune, and evaluate models using industry-standard frameworks
  • Benchmark and monitor the performance of deployed AI systems
  • Optimise AI pipelines for efficiency, speed, and scalability in production environments


Research Translation & Strategic Thinking

  • Bridge the gap between technical research and business applications
  • Identify how emerging AI approaches can support new products and turnkey solutions
  • Support end-to-end prototyping and deployment of POCs involving LLMs, computer vision, and graph-based AI


What You Should Know or Be Eager to Learn

Preferred Technical Skills (not mandatory)

  • Python programming and working with open-source libraries
  • Deep learning tools: PyTorch, Hugging Face, PyTorch Geometric
  • Model types: Transformers, LSTMs, RNNs, GNNs, Heterogeneous GNNs (HGNNs)
  • Concepts: Graph theory, reinforcement learning, agentic AI, AI reasoning
  • Infrastructure tools: Nvidia NIMs, Nvidia Triton, VLLM


Mindset We Look For

  • Strong problem-solving and critical-thinking skills
  • Intellectual curiosity and willingness to dive deep into technical challenges
  • Ability to balance innovation with practical business needs


All selected candidates will undergo a 12-week, fully sponsored on-the-job training with allowance, before being deployed full-time for 3 years.

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