AI Engineer

Job Title: AI Engineer

Department: AI Technology Development

Job Type: Full-time

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

·      Develop AI/ML/DL solutions, including predictive models, computer vision, and LLM-powered applications.

·      Integrate AI applications with Manufacturing Execution Systems (MES) and factory data sources.

·      Collaborate with cross-functional teams (Manufacturing, Process Engineering, Quality & Reliability) to translate operational problems into AI-driven solutions.

·      Deploy AI models and applications to real-world production environments.

·      Develop AI automation workflows 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 LLM applications and prompt engineering.

·      Ability to deploy AI models to real-world environments using Docker.

·      English proficiency: TOEIC 605+ or equivalent (IELTS / TOEFL iBT accepted)

Preferred Qualifications

·      Experience with Computer Vision libraries and frameworks (OpenCV, YOLO, Cognex) and industrial cameras, interfaces, lenses, lighting, and image acquisition.

·      Experience with model optimization or quantization using TensorRT, OpenVINO, or equivalent tools.

·      Experience with industrial data platforms, SQL databases, or factory integration.

·      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