AI Application Engineer

Responsibilities

• Design and implement AI/ML application functions including NLP, CV, and LLM
• Build local AI systems using tools like ollama, vllm, and HuggingFace
• Integrate cloud AI tools and mainstream AI APIs/SDKs (Azure, AWS, GCP)
• Perform model training, fine-tuning, and performance optimization
• Collaborate with team members to drive project implementation
• Research and apply MLOps/LLMOps technologies to practical scenarios

Requirements

• Master's degree or above in Computer Science, Information, Mechanical, Electrical Engineering, or related AI fields
• Proficiency in Python
• Experience with AI frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Ability to use inference frameworks like vLLM, SGLang, Ollama, TensorRT, Onnxruntime, or OpenVINO
• Knowledge of data cleaning, feature engineering, and model training workflows
• Experience in AI application or system integration (model deployment on mobile, instruments, automation machines, or API deployment)
• Proficiency in English for reading technical documents and participating in technical discussions

Preferred Qualifications

• Experience using Gradio or Streamlit

About the Company

SGS is a world leader in testing, verification, inspection, and certification services, serving as a global benchmark for quality and integrity.