AI Marketing Engineer

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.