What Jobs are available for AI & Emerging Technologies in Thailand?

Job Title:
AI Automation Developer

Company:
Sale Here Co., Ltd.

Location:
True Digital Park(near BTS Punnawithi) Bangkok, Thailand

Employment Type:
Full-Time

Why Join Sale Here?

At
Sale Here
, we are more than just Thailand's No.1 promotion-focused social media platform—we're transforming into a tech-powered creator economy enabler. With over a decade of experience working with top-tier brands, we're now investing in
AI automation
to supercharge our internal operations and empower teams to work smarter and faster.

We're looking for an
AI Automation Developer
who's passionate about streamlining workflows and building impactful automation systems. If you're hungry to learn, eager to solve real-world problems, and excited to co-create the next generation of work processes—this is the challenge you've been waiting for.

What You'll Be Doing

• Design, develop, and maintain robust
  automation workflows
  to enhance operational efficiency across departments.
• Implement workflow automations using
  n8n
  (primary),
  
  , and
  Zapier
  .
• Collaborate with our
  Development team
  to build scalable, maintainable, and secure automation systems.
• Troubleshoot, debug, and optimize existing workflows to ensure high availability and performance.
• Explore and adopt the latest trends in
  AI, automation, and no-code/low-code platforms
  to keep Sale Here at the forefront of innovation.

What We're Looking For

• Bachelor's degree in
  Computer Engineering
  ,
  Computer Science
  , or a related field.
• At least
  1 year of experience
  in developing AI or workflow automation systems.
• Strong knowledge of
  JavaScript
  or
  Python
  .
• Experience with no-code tools such as
  n8n
  ,
  Zapier
  , or
  Make
  is highly preferred.
• Self-starter with a "build and improve" mindset—proactive, detail-oriented, and solution-driven.
• Comfortable working in a
  fast-paced
  , collaborative, and continuously evolving environment.

***

ตำแหน่ง:
AI Automation Developer

บริษัท:
บริษัท เซลเฮียร์ จำกัด (Sale Here Co., Ltd.)

สถานที่ทำงาน:
ทรูดิจิทัล พาร์ค (บีทีเอสปุณณวิถี) กรุงเทพฯ, ประเทศไทย

ลักษณะงาน:
งานประจำ (Full-Time)

ทำไมคุณถึงควรร่วมงานกับ Sale Here

ที่
Sale Here
เราไม่ได้เป็นเพียงสื่อโซเชียลอันดับ 1 ด้านโปรโมชั่นของไทยเท่านั้น แต่เรากำลังเปลี่ยนผ่านสู่การเป็นองค์กรที่ขับเคลื่อนด้วยเทคโนโลยีและพลังของครีเอเตอร์ เราเชื่อใน "การพัฒนาไม่สิ้นสุด" และกำลังมองหา
AI Automation Developer
ที่มีใจรักในการปรับปรุงกระบวนการทำงาน และพร้อมสร้างระบบอัตโนมัติที่ทรงพลังเพื่อยกระดับองค์กร

หากคุณกำลังมองหาโอกาสที่จะเติบโต สร้างผลลัพธ์จริง และทำงานร่วมกับทีมที่มีพลังในการเปลี่ยนแปลง ที่นี่คือที่ของคุณ

หน้าที่และความรับผิดชอบ

• ออกแบบ พัฒนา และดูแลระบบ
  Workflow Automation
  เพื่อเพิ่มประสิทธิภาพในการทำงานของแต่ละทีม
• เขียนระบบอัตโนมัติด้วยเครื่องมือ เช่น
  n8n (หลัก)
  ,
  Make (Integromat)
  ,
  Zapier
• ทำงานร่วมกับทีม Developer เพื่อสร้างสรรค์ระบบที่เสถียรและสามารถขยายต่อได้
• ทดสอบและแก้ไขปัญหาใน Workflow ที่พัฒนา
• ศึกษาและติดตามเทคโนโลยีใหม่ๆ ด้าน
  AI และ Automation
  อย่างสม่ำเสมอ เพื่อให้บริษัทก้าวล้ำอยู่เสมอ

คุณสมบัติที่เรามองหา

• วุฒิการศึกษาระดับปริญญาตรี สาขาวิศวกรรมคอมพิวเตอร์ วิทยาการคอมพิวเตอร์ หรือสาขาอื่นที่เกี่ยวข้อง
• มีประสบการณ์ด้านการพัฒนา AI Automation อย่างน้อย 1 ปี
• มีความเข้าใจและสามารถเขียนโปรแกรมด้วย
  JavaScript หรือ Python
  ได้ดี
• เคยใช้เครื่องมืออย่าง
  n8n
  ,
  Zapier
  , หรือ
  Make
  จะได้รับการพิจารณาเป็นพิเศษ
• มีความกระตือรือร้นในการเรียนรู้ มีทัศนคติแบบลงมือทำจริง พร้อมรับมือกับการเปลี่ยนแปลง
• ทำงานร่วมกับทีมได้ดี มีแนวคิดเชิงระบบ และมุ่งเน้นการแก้ปัญหา

• Design and lead architecture for AI-driven applications and prototypes to solve business challenges.
• Develop and maintain web applications ensuring a seamless user experience.
• Work with Python and specific key libraries such as Pandas, NumPy, Pydantic, streamlit and Django to implement AI solutions.
• Deploy, maintain, and scale AI applications using Docker and cloud environments like Azure.
• Integrate various APIs to enhance AI functionalities and interactions.
• Develop and optimize data processing algorithms to ensure efficiency and accuracy.
• Maintain proper feedback mechanisms and structured data storage solutions.
• Apply DevOps best practices, including CI/CD pipelines, version control (Git), and automated testing methodologies.
• Troubleshoot, debug, and enhance application performance while ensuring robust security measures.
• Stay ahead of AI trends and collaborate within the company to leverage AI expertise and align with company-wide AI strategies.
• Bachelor's degree in Computer Science, AI, Data Science, or a related field.
• 3+ years of experience in AI engineering, machine learning, or software development.
• Strong understanding of product management methodologies specifically focused on scoping applications for early value delivery.
• Hands-on experience with AI/ML model integration and LLMs for various applications.
• Ability to work independently while seeking collaboration within the company for knowledge sharing.
• Solid understanding of DevOps best practices, including Docker-based deployment and cloud services (Azure).
• Proficiency in API integrations to enhance AI applications.
• Strong documentation and technical writing skills to articulate AI solutions clearly.
• Strong problem-solving and debugging skills, with to balance rapid development with code efficiency.
• Capable of identifying AI opportunities and implementing solutions from scratch.
• Understanding of SDLC or Software Testing processes (for regulated industries) is preferable.
• Familiarity with automated testing methodologies for AI systems is preferable.
• Strong understanding of multi-agent architectures and agentic AI frameworks.
• Strong grounding in NLP, LLMs and prompt engineering as applied to agents workflow.
• Hands-on experience in developing solutions using MCP server.

หน้าที่และความรับผิดชอบ

• ทดสอบคุณสมบัติ Responsible AI ในมิติต่างๆ เช่น Bias, Fairness, Explainability, Privacy เป็นต้น
• จัดทำ Dataset สำหรับทดสอบ Large Language Model (LLM)
• วิเคราะห์ความเสี่ยงของระบบ AI พร้อมทั้งให้ข้อเสนอแนะในการแก้ไขความเสี่ยง
• ร่วมพัฒนานโยบาย (Policy) และแนวปฏิบัติ (Guideline) ในการการพัฒนาระบบ AI ให้เป็นไปตามแนวทาง Responsible AI
• ติดตามข่าวสารและสถานการณ์เกี่ยวกับเทคโนโลยี AI จริยธรรมปัญญาประดิษฐ์ และประเด็นอื่นๆ ที่เกี่ยวข้อง
• สนับสนุนและปฏิบัติงานอื่นใดตามที่ได้รับมอบหมาย

คุณสมบัติของผู้สมัคร

• มีวุฒิการศึกษาไม่ต่ำกว่าปริญญาตรีหรือคุณวุฒิอย่างอื่นที่เทียบเท่าได้ในระดับเดียวกัน ในสาขาวิชาวิทยาการข้อมูล คณิตศาสตร์และสถิติ เทคโนโลยีสารสนเทศ วิศวกรรมการศาสตร์ หรือสาขาวิชาที่เกี่ยวข้องกับหน้าที่ความรับผิดชอบ
• มีประสบการณ์การทำงานที่เกี่ยวข้องกับหน้าที่และความรับผิดชอบ 0-2 ปี
• สามารถเขียนโปรแกรมภาษา Python และ SQL ได้ในระดับดี
• มีประสบการณ์ด้านการจัดการข้อมูล Big Data หรือ Relational SQL หรือ NoSQL Database
• มีบุคลิกภาพและทัศนคติในการทำงานที่ดี ทำงานเป็นทีม มีความอดทน กระตือรือร้นในการทำงาน มีความรับผิดชอบสูง

Cathcart is partnering with one of Thailand's leading manufacturing companies to find talented AI & Prompt Engineers. If you're passionate about AI and web development, this is your chance to work with cutting-edge technologies and drive innovative projects.

Key Responsibilities:

• Design, create, and optimize prompts for AI systems.
• Import, transform, and manage data for AI applications.
• Query and manage SQL Server databases efficiently.
• Develop AI-powered web applications.
• Support other technology projects as assigned.

Qualifications & Experience:

• Bachelor's degree in Computer Engineering, IT, or related fields.
• 2–5 years of relevant work experience.
• Proficient in VB.NET & Visual Studio.
• Experience in AI prompt creation.
• Python for AI applications.
• Experience with OCR technologies.
• MS SQL Server skills.
• Knowledge of is a plus

If you want to work with AI and contribute to cutting-edge projects, please apply now or contact Dollada (Katoon) at for more information.

We are looking for a detail-oriented and motivated
Machine Learning Intern
to support the
HeatSig
project. The primary responsibility will be
data labeling and preparation
for machine learning models used in heat and motion sensing.

Key Responsibilities

• Perform
  manual data labeling
  of camera frames, heatmaps, and sensor outputs according to project guidelines.
• Organize and maintain datasets for training and testing machine learning models.
• Work with the project team to define consistent annotation standards.
• Conduct basic preprocessing of labeled data (resizing, normalizing, categorizing).
• Assist in documenting labeling protocols and dataset versioning.
• Support preliminary testing of labeled datasets with existing ML models.
• Assist in other related tech issues

Requirements

• Currently pursuing or recently completed a diploma/degree in Computer Science, Data Science, AI/ML, or related fields.
• Familiarity with Python and common ML/data tools (e.g., Jupyter, NumPy, OpenCV) preferred but not mandatory.
• Strong attention to detail and patience for repetitive labeling tasks.
• Interest in machine learning applications in IoT, sensors, or smart systems.

Key Responsibilities:

• DataOps, MLOps, and AIOps
• Design, build, and optimize scalable, secure, and efficient data pipelines for AI/ML workflows.
• Automate data ingestion, transformation, and deployment across AWS, GCP, and Azure.
• Implement MLOps and AIOps for model versioning, monitoring, and automated retraining.
• Ensure performance, security, scalability, and cost efficiency in AI lifecycle management.
• Performance Optimization & Security
• Monitor, troubleshoot, and optimize AI/ML pipelines and data workflows to enhance reliability.
• Implement data governance policies, security best practices, and compliance standards.
• Collaborate with cybersecurity teams to address vulnerabilities and ensure data protection.
• Data Engineering & System Integration
• Develop and manage real-time and batch data pipelines to support AI-driven applications.
• Enable seamless integration of AI/ML solutions with enterprise systems, APIs, and external platforms.
• Ensure data consistency, quality, and lineage tracking across the AI/ML ecosystem.
• AI/ML Model Deployment & Optimization
• Deploy and manage AI/ML models in production, ensuring accuracy, scalability, and efficiency.
• Automate model retraining, performance monitoring, and drift detection for continuous improvement.
• Optimize AI workloads for resource efficiency and cost-effectiveness on cloud platforms.
• Continuous Learning & Innovation
• Stay updated on AI/ML advancements, cloud technologies, and big data innovations.
• Contribute to proof-of-concept projects, AI process improvements, and best practices.
• Participate in internal research, knowledge-sharing, and AI governance discussions.
• Cross-Functional Collaboration & Business Understanding
• Work with business teams to ensure AI models align with organizational objectives.
• Gain a basic understanding of how AI/ML supports predictive analytics, demand forecasting, automation, personalization, and content generation.

Qualifications:

• Education:
• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field. Advanced degrees or relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer) are a plus.
• Experience:
• Minimum of 3-5 years' experience in a data engineering or operations role, with a focus on DataOps, MLOps, or AIOps.
• Proven experience managing cloud platforms (AWS, GCP, and/or Azure) in a production environment.
• Hands-on experience with designing, operating, and optimizing data pipelines and AI/ML workflows.
• Technical Skills:
• Proficiency in scripting languages such as Python and Bash, along with experience using automation tools.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) is desirable.
• Strong knowledge of data processing frameworks (e.g., Apache Spark) and data pipeline automation tools.
• Expertise in data warehouse solutions and emerging data lakehouse architectures.
• Experience with AWS technologies is a plus, especially AWS Redshift and AWS SageMaker, as well as similar tools on other cloud platforms.
• Understanding of machine learning model deployment and monitoring tools

JOB SPECIFICATION

Education and Experience:

• Bachelor's degree of Machine Learning, AI, Data Science, Computer Science or related field.
• 5-7 years of experience machine learning, AI, and data science, with a proven track record of leading teams and delivering impactful ML projects.
• Hands-on experience in developing and deploying machine learning models in production environments.
• In-depth experience with data preprocessing, feature engineering, model training, and optimization.
• Experience in deploying ML systems at scale and ensuring high availability and performance

Required Skills/Abilities:

• Expertise in machine learning algorithms, frameworks, and tools.
• Advanced knowledge of programming languages.
• Strong understanding of cloud platforms for ML and distributed computing frameworks.
• Knowledge of deep learning, reinforcement learning, and natural language processing.
• Strong leadership and decision-making skills, with experience in managing and developing teams.
• Strategic thinking and the ability to guide long-term technology planning.
• Ability to translate complex technical concepts into business-focused solutions.
• Strong analytical and problem-solving skills.
• Good interaction skills stakeholders and cross-functional teams management.
• Excellent communication for explaining technical concepts to non-technical stakeholders and collaborating with diverse teams.

Established in 2004, OLIVER is the world's first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences.

As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results.

Role: GenAI Strategist

Location: Bangkok, Thailand

About the role:

We're looking for a dynamic Mid-Level Strategist to help shape the future of beauty marketing through AI innovation. This role combines beauty industry knowledge with AI capabilities to develop effective strategies for beauty and wellness brands. The ideal candidate will bridge traditional strategic thinking with AI-powered approaches.

What you will be doing:

Strategic Development:

• Develop AI-enhanced strategic solutions for beauty brands
• Apply Gen AI tools in insight discovery and strategy development
• Create compelling brand narratives using AI-powered insights
• Support development of strategic frameworks and methodologies
• Implement AI tools in strategic planning processes

Beauty Industry Focus:

• Monitor and analyse beauty industry trends
• Generate consumer insights using AI tools
• Develop beauty-specific applications of AI technology
• Support strategic planning for beauty brands
• Contribute to beauty marketing innovation

Project Execution:

• Lead day-to-day strategic development
• Collaborate with creative teams on AI implementation
• Present strategic work to clients
• Support senior strategists on larger initiatives
• Drive continuous improvement in AI utilization

Success Metrics:

• Quality of strategic thinking and outputs
• Effectiveness of AI implementation
• Client satisfaction and relationship growth
• Innovation in strategic approaches
• Team collaboration and development

What you need to be great in this role:

• 1-3 years strategy experience in beauty or related sectors
• Understanding of beauty industry dynamics
• Experience with AI tools and applications
• Strong analytical and strategic thinking skills
• Proven ability to develop actionable insights

Technical Skills:

• Proficiency in AI research and insight tools
• Understanding of Gen AI capabilities
• Data analysis and interpretation abilities
• Experience with strategic planning tools
• Knowledge of beauty industry metrics

Personal Qualities:

• Strategic thinker with practical mindset
• Interest in technology and innovation
• Passion for beauty industry
• Strong collaborative abilities
• Clear communication skills

Our Commitment:

• Access to cutting-edge AI strategic tools
• Ongoing training and development
• Flexible hybrid working arrangement
• Collaborative environment
• Competitive compensation package

Req ID: 14208

Our values shape everything we do:

Be Ambitious to succeed

Be Imaginative to push the boundaries of what's possible

Be Inspirational to do groundbreaking work

Be always learning and listening to understand

Be Results-focusedto exceed expectations

Be actively pro-inclusive and anti-racist across our community, clients and creations

OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.

OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.