(資深)AI應用工程師(台北)
Core
Design and implement AI/ML application features (NLP, CV, LLM) and integrate them into products or services; build local AI systems and optimize cloud AI tool integration.
Role type
AI Application Engineer (Local & Cloud)
Builds
Local AI systems, cloud-integrated AI services, and deployed models for embedded devices/APIs
Domain
Artificial Intelligence / Machine Learning / Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, AI Frameworks (PyTorch, TensorFlow, Scikit-learn), Inference Frameworks (vLLM, SGlang, Ollama, TensorRT, ONNX Runtime, OpenVINO), Data Cleaning, Feature Engineering, Model Training, System Integration, MLOps/LLMOps
Preferred skills
Gradio, Streamlit
Technologies
Ollama, vllm, HuggingFace, Azure, AWS, GCP, TensorRT, ONNX Runtime, OpenVINO, PyTorch, TensorFlow, Scikit-learn
Responsibilities
Design and implement AI/ML application features; Build local AI systems for specific scenarios; Integrate cloud AI tools and optimize automation workflows; Train, tune, and optimize models for accuracy and stability; Collaborate with team members to drive project delivery; Apply MLOps/LLMOps technologies in practice.
Seniority
Junior to Mid-level (Fresh graduates accepted)
