AI Specialist

Role & responsibilities

Impact Based Forecasting

• Collaborate with other members of the IT team, meteorologists, hydrologists, GIS specialists, and disaster risk management experts within RIMES to ensure the development of IBF DSS.
• Develop AI models (e.g., NLP, computer vision, reinforcement learning)
• Integrate models into applications and dashboards.
• Ensure model explainability and ethical compliance.
• Assist the RIMES Team in applying AI/ML models to forecast hazards and project likely impacts based on exposure and vulnerability indices.
• Work with forecasters and domain experts to automate the generation of impact-based products.
• Ensure data security, backup, and compliance with data governance and interoperability standards.
• Train national counterparts on the use and management of the AL, including analytics dashboards.
• Collaborate with GIS experts, hydromet agencies, and emergency response teams for integrated service delivery.
• Technical documentation on data architecture, models, and systems.

Capacity Building and Stakeholder Engagement

• Facilitate training programs for team members and stakeholders, focusing on RIMES policies, regulations, and the use of forecasting tools.
• Develop and implement a self-training plan to enhance personal expertise, obtaining a trainer certificate as required.
• Prepare and implement training programs to enhance team capacity and submit training outcome reports.

Reporting

• Prepare technical reports, progress updates, and outreach materials for stakeholders.
• Maintain comprehensive project documentation, including strategies, milestones, and outcomes.
• Capacity-building workshop materials and training reports.

Other Responsibilities

• Utilize AI skills to assist in system implementation plans and decision support system (DSS) development.
• Utilize skills to assist in system implementation plans and decision support system (DSS) development.
• Assist in 24/7 operational readiness for client early warning systems such as SOCs, with backup support from RIMES Headquarters.
• Undertake additional tasks as assigned by the immediate supervisor or HR manager based on recommendations from RIMES technical team members and organizational needs.
• The above responsibilities are illustrative and not exhaustive. Undertake any other relevant tasks that could be needed from time to time.

Preferred candidate profile

• Minimum of 3 years of experience in data engineering, analytics, or IT systems for disaster management, meteorology, or climate services.
• Experience in multi-stakeholder projects and facilitating capacity-building programs.
• Machine Learning Fundamentals: Deep understanding of various ML algorithms, including supervised, unsupervised, and reinforcement learning. This includes regression, classification, clustering, time series analysis, anomaly detection, etc.
• Deep Learning: Proficiency with deep learning architectures (e.g., CNNs, RNNs, LSTMs, Transformers) and frameworks (TensorFlow, PyTorch, Keras). Ability to design, train, and optimize complex neural networks.
• Strong programming skills in Python, with extensive libraries (NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, Seaborn, GeoPandas).
• Familiarity with AI tools: such as PyTorch, TensorFlow, Keras, MLflow, etc.
• Data Visualization: Ability to create clear, compelling visualizations to communicate complex data and model outputs.
• Familiarity with early warning systems, disaster risk frameworks, and sector-specific IBF requirements is a strong plus.
• Proficiency in technical documentation and user training.

Contract Duration

The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews.

How to Apply:

Interested candidates should send your application letter, resume, salary expectation and 2 references to rimeshra- by midnight of 1 October 2025, Bangkok time.

Please state AI SpecialistImpact-Based Forecasting: Your Name the Subject line of the email. Only short-listed applicants will be contacted.

Ms. Dusadee Padungkul

Head-Department of Operational Support

Regional Integrated Multi-Hazard Early Warning System

AIT Campus, 58 Moo 9 Paholyothin Rd., Klong 1,

Klong Luang, Pathumthani 12120 Thailand.

RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply.