AI Engineer

Overview
Design, develop, and deploy advanced AI systems to support the company’s Smart Manufacturing initiatives. This role spans the full AI development lifecycle – from data preprocessing and model development to production deployment – addressing real-world challenges in manufacturing automation, computer vision, and enterprise AI applications.
Key Responsibilities
Design and develop AI/ML/DL solutions including predictive models, computer vision pipelines, LLM-powered applications, and AI agent workflows.
Build and maintain integrations with Manufacturing Execution Systems (MES) and other factory data sources.
Collaborate with cross-functional teams (Manufacturing, Process Engineering, Quality & Reliability) to translate operational problems into AI-driven solutions.
Deploy models to production environments, optimize inference performance, and ensure system scalability and reliability.
Develop AI automation workflows and agentic systems that reduce manual effort across manufacturing operations.
Monitor model performance, identify degradation, and iterate based on feedback from stakeholders.
Communicate technical concepts clearly to both technical and non-technical audiences.
Stay current with AI research and proactively propose innovative solutions aligned with business goals.
Required Qualifications
Bachelor's degree or higher in Computer Science, Data Science, Electrical Engineering, or a related field
1-3 years of experience in Software Engineering or AI/ML Engineering
Strong foundation in Python, data structures, and algorithms
Hands-on experience with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Familiarity with LLMs, prompt engineering, and agentic AI frameworks (e.g., LangChain, LlamaIndex)
Experience deploying models to production environments (REST APIs, containerization)
English proficiency: TOEIC 605+ or equivalent (IELTS / TOEFL iBT accepted)
Preferred Qualifications
Experience with Computer Vision libraries and frameworks (OpenCV, YOLO, torchvision)
Familiarity with AI agent frameworks and tool-use patterns (e.g., function calling, RAG pipelines)
Experience with MES systems or industrial data platforms
Experience with Statistical Process Control (SPC) or manufacturing quality methodologies (Six Sigma, 8D, 5 Whys)
Application
CV in English. Contacted candidates will be invited to a two-round interview process: a presentation round (previous job experience, achievements) followed by a technical interview
Ngành nghề: CNTT - Phần mềm, CNTT - Phần cứng / Mạng, Điện / Điện tử / Điện lạnh / Điện công nghiệp
Kinh nghiệm: 1 Năm
Cấp bậc: Nhân viên
Hình thức: Nhân viên chính thức
Địa điểm: Bình Dương