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.