Senior AI Engineer
TH BKK GABLE Full-time Senior AI Engineering
At a glance
Senior AI Engineering role at Gable. TH BKK GABLE · full-time.
Pay not stated AI Engineer salary
RoleAI Engineering
SenioritySenior
LocationTH BKK GABLE
EmploymentFull-time
PostedOct 12, 2026 · 10d ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build data pipelines for preparation, feature extraction, model training and inference, connecting them to the AI Platform
- Put MLOps lifecycle controls in place, including data versions, model tracking, CI/CD, deployment and monitoring
- Choose cloud and AI services for specific uses, then develop approaches such as RLHF to reduce Foundation Model retraining
- Check models for security, reliability, stability and accuracy; improve code quality and integration testing with QA
- Work with application, data platform and product teams to embed AI, document its operation and help teams and clients use the platform
What you bring
- A bachelor's or master's degree in computer science, artificial intelligence or a related discipline
- At least two years of AI work, with experience designing AI applications
- Knowledge of machine learning frameworks such as TensorFlow or PyTorch
- Experience applying ethical AI practices and meeting data protection requirements
Who this fits
This role suits a senior AI engineer who can lead projects across teams and communicate with different stakeholders. The position is based in Bangkok, Thailand.
From the employer
Welcome!
Responsibilities:Design and develop scalable, flexible, and efficient data pipelines for data preparation, feature extraction, training, and inference, integrated with the AI Platform.
Implement MLOps practices to support the model lifecycle, including data versioning, model tracking, CI/CD pipelines, deployment, and monitoring.
Research and select appropriate Cloud and AI-related services (e.g., LLMs, image processing, document processing) tailored to specific use cases.
Develop AI solutions that reduce the need for frequent retraining of Foundation Models by applying advanced techniques such as RLHF.
Regularly audit AI models for security, reliability, stability, and accuracy.
Create and manage technical documentation, user guides, and operational guidelines for AI system maintenance.
Review and enhance code quality, integration testing, and collaborate with QA to maintain system stability.
Collaborate with Application, Data Platform, and Product teams to integrate AI solutions into existing systems.
Stay up to date with emerging technologies in AI, MLOps, Cloud, DevOps, and industry best practices.
Evaluate third-party tools, frameworks, and platforms to enhance AI development efficiency.
Support internal teams and clients in understanding and adopting the AI Platform.
Qualifications:
Bachelor's or Master’s in Computer Science, Artificial Intelligence, or a related field.
Extensive experience in designing AI applications and knowledge of machine learning frameworks like Tensor Flow or PyTorch.
Proven ability to lead and manage projects with cross-functional teams.
Strong communication skills to effectively collaborate with various stakeholders.
Critical thinking and problem-solving skills are essential.
Experience with ethical AI practices and ensuring compliance with data protection regulations.
At least 2-5 years of experience in AI work.
Growth with Tech leader company. Apply here!