AI Solutions Engineer-Taipei

• Hands-on experience with on-prem GenAI or LLM deployment (at work or at school) • Strong understanding of MLOps, AI models/tools, and deployment pipelines. • Proficiency inPythonand Linux-based systems. • Experience with RPA tools(e.g., UiPath, Automation Anywhere, Blue Prism). • Familiarity with popular AI/ML frameworks (e.g., PyTorch, TensorFlow, OpenAI, Hugging Face Transformers). • Strong problem-solving, communication, and cross-functional collaboration skills. • Ability to lead projects with minimal supervision in a fast-paced environment. • Proactive in staying updated with emerging trends in AI, GenAI, and automation. Preferredrequirements: • Proficiency in Dockerand REST APIs • Experience with GPU-accelerated computingand AI hardware (NVIDIA, AMD). • Knowledge of LLM fine-tuning, retrieval-augmented generation (RAG), vector databases • Experience with Kubernetes, Helm, and container orchestration for AI workloads. • Exposure to cloud platforms (AWS, Azure, GCP) and hybrid architectures. • AI/ML certifications or relevant training (e.g., NVIDIA DLI, Google ML Engineer).