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| Location | Thailand, Sumutprakarn |
| Job Type | Permanent Full-time |
| Salary | Negotiable, based on experience |
We are looking for a Data Scientist / ML Engineer to drive AI-powered energy optimization initiatives across manufacturing sites in ASEAN. This role focuses on building intelligent systems that improve energy efficiency, support sustainability goals, and enable real-time decision-making in factory environments.
Responsibilities
Develop and operationalize machine learning models to forecast and optimize energy usage in factories.
Build automated systems to manage energy supply and demand dynamically.
Integrate and process data from industrial systems such as sensors, PLCs, and SCADA.
Analyze data to uncover inefficiencies and opportunities for performance improvement.
Work with cross-functional teams to scale energy and carbon reduction solutions across multiple sites.
Qualifications
Degree in Computer Science, Engineering, or a related field, with at least 3 years’ relevant experience (fresh Master’s graduates welcome).
Strong expertise in AI/ML techniques, including deep learning approaches.
Proficiency in Python and experience deploying ML models in industrial or factory environments.
Familiarity with IoT systems, industrial data, and communication protocols (e.g., MQTT, LoRa, PLC, SCADA).
Good English communication skills (TOEIC 600+) and solid academic background.
Interested candidate, please submit your most recent resume in English by simply clicking “APPLY NOW’
JAC Recruitment Ltd.
10F, Emporium Tower, 622, Soi 24, Sukhumvit Road, Klongton, Klongtoey, Bangkok 10110
#LI-JACTH
#citysamutprakarn
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Privacy Policy Link: https://www.jac-recruitment.th/privacy-policy
Terms and Conditions Link: https://www.jac-recruitment.th/terms-of-use
| Minimum Experience Level | Over 3 years |
| Career Level | Mid Career |
| Minimum English Level | Business Level |
| Minimum Japanese Level | None |
| Minimum Education Level | Associate Degree/Diploma |
| Visa Status | No permission to work in Japan required |
| Job Type | Permanent Full-time |
| Salary | Negotiable, based on experience |
| Industry | Automobile and Parts |