Job Summary

Develop end-to-end AI and machine learning solutions that transform business challenges into scalable, production-ready applications. You will work across the full lifecycle of data products - from business requirement analysis and model development to backend integration and deployment - leveraging Generative AI and advanced analytics technologies.

Job Description

• Collaborate with business stakeholders to gather requirements and translate business challenges into data-driven solutions.

• Analyze and explore data to identify insights, develop features, and prepare datasets for machine learning applications.

• Design, develop, validate, and optimize machine learning and Generative AI models for real-world business use cases.

• Build and integrate backend services, APIs, and machine learning pipelines into production environments.

• Develop scalable Retrieval-Augmented Generation (RAG) and Large Language Model (LLM)-based solutions.

• Design and maintain robust data pipelines while ensuring data quality and reliability.

• Apply statistical analysis, optimization techniques, and machine learning algorithms to solve complex business problems.

• Work closely with cross-functional teams including business users, domain experts, infrastructure engineers, and product teams to deliver end-to-end AI solutions.

• Continuously improve AI models, system performance, and deployment processes to ensure scalable and maintainable solutions.

• Stay updated with emerging AI, machine learning, and data science technologies to drive innovation within the organization.

Qualifications

• Bachelor's or Master's in Data Science, Computer Science, Statistics, Computer Engineering, Robotics & AI, or related fields. (Bachelor GPA > 2.70, Master GPA > 3.30)

• 1-3 years of experience in Data Science, Analytics, Machine Learning, or Generative AI.

• Strong understanding of Machine Learning, Statistics, Optimization, and Data Analytics.

• Hands-on experience with Generative AI, Agentic AI, Computer Vision, NLP, or LLM technologies.

• Experience designing end-to-end machine learning solutions, scalable AI systems, data pipelines, and backend integration.

• Strong programming and software engineering fundamentals with the ability to develop production-ready applications.

• Analytical mindset with excellent problem-solving and communication skills.

• Able to collaborate effectively with cross-functional teams and translate business requirements into technical solutions.

• Good command of English in verbal and written communication (TOEIC > 550).

• Willing to work onsite at SCG Packaging Public Company Limited (Bang Sue, Bangkok).