Applied AI Engineer — MVP Prototyping & Real-World Impact

Red Alpha; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

12-week sponsorship training

Job summary

Red Alpha Cybersecurity is seeking aspiring AI Engineers to build real-world AI applications, from model design to rapid MVP development and deployment.

You will collaborate with data science teams to train, benchmark, and deploy AI systems using PyTorch, Transformers, and graph-based methods, including LLMs, with a 12-week on-job training.

Join a fast-paced environment across industries, with hands-on prototyping and deployment lasting 3 years after training.

Qualifications

• Python programming and open-source libraries experience.
• Deep learning tools and frameworks experience.
• Familiarity with Transformers and graph neural networks.

Responsibilities

• Build and deploy AI-powered MVPs with data science teams.
• Design and optimise AI models for practical use cases.
• Bridge technical research and business applications in AI projects.
• Prototype and deploy POCs involving LLMs and graph-based AI.

Skills

Python programming

Deep learning

Research & prototyping

Tools

PyTorch

Transformers

PyTorch Geometric

Hugging Face

VLLM

Nvidia Triton

Nvidia NIMs

GNNs

HGNNs

Job description

Red Alpha Cybersecurity is seeking aspiring AI Engineers to build real-world AI applications, from model design to rapid MVP development and deployment.

You will collaborate with data science teams to train, benchmark, and deploy AI systems using PyTorch, Transformers, and graph-based methods, including LLMs, with a 12-week on-job training.

Join a fast-paced environment across industries, with hands-on prototyping and deployment lasting 3 years after training.