Artificial Intelligence / Machine Learning Engineer (AI/ML) Junior-Middle Level

Job purpose

• To develop Natural Language Understanding (NLU) model for internal chatbot platform.
• To develop Large Language Model (LLM)-based chatbot and apply with internal chatbot platform.
• Apply machine learning techniques and explore Large Language Model (LLM) technology with Krungsri Consumer use cases.

Responsibility:

• Design, develop, and maintain NLU models (intent classification and entity recognition) for intent-based chatbots.
• Design and develop LLM-based chatbots, including Retrieval-Augmented Generation (RAG) pipelines, to support domain-specific conversational use cases on the internal chatbot platform.
• Monitor, evaluate, and continuously improve the performance, reliability, and quality of both intent-based and RAG-based chatbot systems in real-world production environments.
• Research and explore the practical applications of Generative AI (e.g., Large Language Models) for various business use cases across the organization.
• Apply NLP, Machine Learning, and AI techniques to broader enterprise applications, including but not limited to image processing, optical character recognition (OCR), and semantic search.
• Collaborate closely with cross-functional teams including project/product owners, chatbot designers, and software engineers to ensure seamless AI integration into business workflows.

Qualification:

• Bachelor’s degree in Major Computer Science, Engineering or related field.
• Minimum of 3 years of experience in developing and deploying Machine Learning systems, with at least 2 years of hands-on experience in Natural Language Processing (NLP) or minimum 1 year experience in Large Language Model (LLM) related application development.
• Proficiency in Python, with strong coding and software engineering practices.
• Solid understanding of Thai NLP challenges and experience working with Thai language datasets and tools.
• Strong knowledge of both classical machine learning and deep learning methods applied to NLP tasks, such as Text Classification, Named Entity Recognition, and Sequence Labeling.
• Experience with the development and application of Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), vector-based text embeddings and re-ranking models to improve retrieval relevance in domain-specific chatbots.
• Familiarity with machine learning frameworks and libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, or Hugging Face Transformers.
• Understanding of Prompt Engineering techniques for optimizing LLM-based systems.
• Experience in Image Processing or Computer Vision (e.g., Multi-task Learning, Image Classification, Optical Character Recognition) will be considered a significant advantage.
• Strong knowledge of API design and integration, including RESTful APIs.
• Experience with chatbot development frameworks such as N8N, LangChain/LangGraph/LangFlow, Google Dialogflow, Rasa, IBM Watson, or Wit.ai is a plus.
• Familiarity with Thai NLP tools such as PyThaiNLP is an advantage.
• Passionate about chatbot and A.I. development.
• Self-motivated and able to work independently, making deadlines consistently.
• A team player that enjoys a collaborative design process.
• Flexible under the change and dynamic conditions.
• Eager to learn and apply new things into works/tasks.

Work Location: KSPO Building, BTS Ploenchit, Bangkok

Good remuneration package will be rewarded and also excellent future career growth opportunity is available for the right candidate.

Please submit your application letter, resume stating qualifications and experiences, stating recent & expected salary to the following address:

Human Resources Department

Krungsri Consumer

17 Fl., Krungsri Ploenchit Tower

550 Ploenchit Rd., Lumpini,

Pathumwan, Bangkok 10330

Contact person: Supansa (FON)

Contact number: 081-9498791

หมายเหตุ กลุ่มบริษัทกรุงศรี คอนซูมเมอร์ (บริษัทฯ) มีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงาน

ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของบริษัทฯ ได้ โดยการพิมพ์ลิงค์ https://www.krungsriconsumer.com/consumer-news/personal-data