AI Marketing Engineer

Red Alpha; Singapore; On-site; SGD 75,000 - 120,000; Full time

Benefits offered by this job

12-week training with allowance

Job summary

Red Alpha Cybersecurity in Singapore is seeking aspiring AI Engineers to work on real-world AI applications, from model design and MVP development to scalable production-ready systems.

You will join a team building cutting-edge AI capabilities powering next-gen products across industries, with a strong emphasis on practical impact and scalable deployment.

Qualifications

• Proficiency in Python and open-source libraries for AI development.
• Experience with PyTorch and Hugging Face for model training and deployment.
• Familiarity with Transformers, LSTMs/RNNs, GNNs and graph-based AI concepts.
• Understanding of graph theory, reinforcement learning, and AI reasoning.
• Hands-on experience with Nvidia NIMs, Triton, and VLLM is a plus.

Responsibilities

• Build and deploy AI-powered MVPs with data science teams.
• Design and optimize AI models for high-impact use cases.
• Apply methods like meta-learning and prompt engineering.
• Train, fine-tune, and evaluate models with standard frameworks.
• Bridge research with business applications and prototype POCs.

Skills

Python programming

Deep learning

PyTorch

Hugging Face

Graph theory

Reinforcement learning

GNNs

AI reasoning

Problem-solving

Tools

Nvidia NIMs

Nvidia Triton

VLLM

PyTorch Geometric

Job description

Red Alpha Cybersecurity is hiring aspiring AI Engineers who want to work on real-world AI applications, from model design and optimization 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 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-job-training with allowance, before being deployed full-time for 3 years.