What Jobs are available for Deep Learning in Thailand?

หน้าที่ความรับผิดชอบ (Responsibilities) :

• ร่วมพัฒนาและทดสอบระบบหรือแอปพลิเคชันที่มีการนำ AI/ML มาใช้งานจริง
• ศึกษา ทดลอง และ เชื่อมต่อ API ของ AI (เช่น OpenAI, HuggingFace, LangChain ฯลฯ) เข้ากับระบบที่กำลังพัฒนา
• สนับสนุนการพัฒนา Web Application / Backend / Tools ที่เกี่ยวข้องกับ AI Automation
• ช่วยเตรียมและจัดการข้อมูล (Data Preparation & Preprocessing) สำหรับการสร้าง AI Model
• เขียน Script/โค้ดอัตโนมัติ (Automation) เพื่อช่วยลดงานซ้ำ ๆ
• ทำงานร่วมกับทีม Developer ในการแก้ไข Bug และพัฒนา Feature ใหม่ ๆ

คุณสมบัติ (Qualifications) :

• กำลังศึกษาในระดับปริญญาตรีชั้นปีที่ 3-4 สาขา Software Engineering ,Computer Science, IT หรือสาขาอื่นที่เกี่ยวข้อง
• มีทักษะการเขียนโปรแกรมอย่างน้อย 1 ภาษา เช่น Python, , Java, C#
• เข้าใจพื้นฐานการเชื่อมต่อระบบ เช่น API, RESTful, JSON
• สนใจเทคโนโลยีด้าน AI/ML เช่น Generative AI, LLM, Computer Vision, NLP
• หากมีประสบการณ์ใช้งานเครื่องมือ AI (เช่น OpenAI API, LangChain, Tensor Flow, PyTorch) จะได้รับการพิจารณาเป็นพิเศษ
• มีทักษะ Logical Thinking ชอบแก้ปัญหา และสามารถทำงานเป็นทีม

สิ่งที่คุณจะได้รับ (What you'll gain) :

• ได้ฝึกงานกับ โครงการจริงด้าน Digital Transformation ที่เกี่ยวข้องกับ AI และ Automation
• เรียนรู้การใช้ AI Tools  (OpenAI, HuggingFace, LangChain ฯลฯ)
• ได้ประสบการณ์ตรงในการพัฒนา AI Use Cases ขององค์กร
• มี Mentor คอยแนะนำ ทั้งด้านเทคนิคและการทำงานในสภาพแวดล้อมจริง
• โอกาสต่อยอดสู่การทำ Project/Thesis/Portfolio ที่โดดเด่น

Position title

Artificial Intelligence (AI) and Natural Language Processing (NLP) Engineer

Description
Omniscien Technologies is a market-leading artificial intelligence and language technology company that develops and provides ground-breaking automated machine translation and language processing technologies, speech recognition, generative AI, and related products and services under the Language Studio brand to a wide variety of customers throughout the world including governments and some of the world's leading companies and best-known global brands.

We are looking for an AI and NLP Engineer to join in our R&D team in Bangkok.

Position Overview
In this role, you'll be responsible for developing cutting-edge NLP solutions and AI models to solve complex business challenges and enhance our user experience. You will be involved in the creation of software for the preparation and production of large volumes data in hundreds of languages used in training AI models. Areas of AI include Neural Machine Translation (NMT), Automatic Speech Recognition (ASR), Optical Character Recognition (ASR), Generative AI, and many other elements of NLP.

You will be part of the team working on next-generation solutions in collaboration with our Chief Technology Officer. This core team focusses on forward looking research, developing proof of concepts and prototypes and supporting the software development and product management teams in rolling key features into our offerings and products. You will work in a team comprising machine learning, NLP and software engineering experts.

The ideal candidate will have a rigorous, analytical, creative mind, and experience with programming and tools to processing large volumes of data. This role requires combined expertise in software development, programming, data science and data engineering.

Responsibilities

• Design, develop, and deploy advanced NLP and AI models and algorithms tailored to our specific business needs.
• Collaborate with other team members to integrate AI and NLP models into our existing platforms and applications.
• Conduct research on the latest AI and NLP techniques and technologies, staying up-to-date on the latest industry trends.
• Troubleshoot and improve current systems and applications, ensuring they meet the quality and performance standards.
• Prepare clear and concise reports explaining complex technical concepts and findings to non-technical team members and stakeholders.
• Follow the software development lifecycle process to ensure all projects are completed on time and meet specifications.
• Perform tests and troubleshoot issues before final delivery
• Identify, transform, and create appropriate datasets for Machine Learning technologies.
• Train models and carry out evaluation experiments on the developed models.
• Identify and implement the tools and algorithms appropriate for Natural language processing assignments.
• Research, develop and evaluate advanced language processing algorithms and implementations.
• Build and implement advanced machine learning models for language processing workflows.

Qualifications

• Bachelor's or master's degree in computer science, Computer Engineer and other related fields.
• Solid programming skills in Python and familiarity with AI and NLP libraries such as TensorFlow, PyTorch, NLTK, spaCy, etc. Experience with Java a plus.
• Proven experience with AI and NLP, preferably with a focus on machine learning, deep learning, or computational linguistics.
• Experience with cloud-based AI solutions such as AWS Sagemaker, Google AI Platform, Azure Machine Learning is a plus.
• Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques.
• Excellent problem-solving skills, attention to detail, and the ability to work independently or as part of a team.
• Strong communication skills, both written and verbal, with the ability to explain complex concepts to a non-technical audience.

Apply now

Name*

Email*

Phone*

Comments

Resume*

Add file

Other documents

Add file

Any other documents that support your application can also be uploaded.

• Required fields

Phone

Thank you for submitting your application. We will contact you shortly

Join period: Anytime from Jan 2026. As an intern in AI research, development and implementation role, you will be involved in supporting the wafer technology in wafer test process. You will have the opportunity to learn, work, and gain professional experience in research, development, and implementation AI,machine learning, deep learning, professional coding, test programs,advanced data analytics and contributing to the enhancement of wafer testing operation.

Job Description

In your new role you will:

• Perform AI Research, development, and implementation (choose one) for:
  
  1.1 Wafer defect map pattern recognition and automated tools control
  
  1.2 AI inspection using computer vision and image processing
  
  1.3 Machine authentication using facial recognition
  
  1.4 Equipment predictive maintenance
  
  1.5 Feasibility study in LLM (Large Language Model) for Smart Manufacturing applications

• Conduct professional coding using Python with Tensorflow, CV (ComputerVision) with GitLab repository

• Implement AI with MLOps (Machine Leaning Operation)
• Perform advanced automated data analytics using KNIME
• Perform code review
• Conduct Bug Fixing: Identify, troubleshoot, and resolve software defects related to wafer test applications

Your Profile

You are best equipped for this task if you have:

• Currently studying 3rd or 4th year in a Bachelor or Masters in Robotics and Computational Intelligence Systems, Computer Science, Computer Engineering, Electrical Engineering or related disciplines
• Proficiency in programming language in Python with CV2, Tensorflow, MLflow
• Source code repository e.g. GIT, GitHub, GitLab
• Basic understanding of data analysis and statistical methods
• Problem-Solving Skills: Strong analytical and problem-solving abilities.
• Attention to Detail: High level of accuracy and attention to detail in coding and testing.
• Communication Skills: Good verbal and written communication skills to document code and interact with team members.
• Team Player: Ability to work collaboratively in a team environment and take direction from senior engineers.
• 10 vacancies available

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

We are on a journey to create the best Infineon for everyone.This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.

Join period: Anytime from Jan 2026. As an intern in AI research, development and implementation role, you will be involved in supporting the wafer technology in wafer test process. You will have the opportunity to learn, work, and gain professional experience in research, development, and implementation AI,machine learning, deep learning, professional coding, test programs,advanced data analytics and contributing to the enhancement of wafer testing operation.

Job Description
In your new role you will:

• Perform AI Research, development, and implementation (choose one) for: 1.1 Wafer defect map pattern recognition and automated tools control 1.2 AI inspection using computer vision and image processing 1.3 Machine authentication using facial recognition 1.4 Equipment predictive maintenance 1.5 Feasibility study in LLM (Large Language Model) for Smart Manufacturing applications
• Conduct professional coding using Python with Tensorflow, CV (ComputerVision) with GitLab repository
• Implement AI with MLOps (Machine Leaning Operation)
• Perform advanced automated data analytics using KNIME
• Perform code review
• Conduct Bug Fixing: Identify, troubleshoot, and resolve software defects related to wafer test applications

Your Profile
You are best equipped for this task if you have:

• Currently studying 3rd or 4th year in a Bachelor or Masters in Robotics and Computational Intelligence Systems, Computer Science, Computer Engineering, Electrical Engineering or related disciplines
• Proficiency in programming language in Python with CV2, Tensorflow, MLflow
• Source code repository e.g. GIT, GitHub, GitLab
• Basic understanding of data analysis and statistical methods
• Problem-Solving Skills: Strong analytical and problem-solving abilities.
• Attention to Detail: High level of accuracy and attention to detail in coding and testing.
• Communication Skills: Good verbal and written communication skills to document code and interact with team members.
• Team Player: Ability to work collaboratively in a team environment and take direction from senior engineers.
• 10 vacancies available

#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?
We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.

Designation:
AI Fullstack Engineer

Working model: Remote for now, Onsite in the near future once they open their office

Industry:
IT/Technology

Overview

You'll build, deploy and maintain production-grade AI systems that solve real business problems, from data pipelines and model training to API-driven model serving and monitoring. You will work with product managers and software engineers to turn prototypes into reliable services used by customers and internal teams.

What you'll own

• Deliver end-to-end ML/AI features: data ingestion, feature engineering, model training, validation, deployment, and monitoring.
• Build reproducible model training pipelines (CI for ML), and automate model retraining and evaluation.
• Productionise models: containerized deployments, model serving (APIs/microservices), and scale using cloud infra (AWS/GCP/Azure).
• Optimise models for latency, throughput and cost; design observability (metrics, drift detection, alerting).
• Collaborate with engineers and product to define success metrics, run A/B tests, and translate ML results into product outcomes.
• Mentor junior engineers, review code, and contribute to engineering best practices (testing, reproducibility, documentation).

Must-have (what we expect on day one)

• 3+ years experience building and shipping ML/AI solutions (not just research/prototyping).
• Strong Python skills and familiarity with ML frameworks: PyTorch and/or TensorFlow. Experience with libraries for production ML (MLflow, ONNX, Hugging Face) a plus.
• Solid understanding of statistics, ML fundamentals, and evaluation metrics for classification/regression and ranking.
• Experience with data engineering: SQL, ETL, working with large datasets, and feature stores or equivalent patterns.
• Hands-on experience deploying models to cloud infra (AWS/GCP/Azure) and working knowledge of Docker/Kubernetes or serverless options.
• Clear code, strong testing habits, and production debugging experience.

Nice-to-have

• Experience with LLMs, prompt engineering, fine-tuning, retrieval-augmented generation (RAG) stacks, or generative AI deployments.
• Background in computer vision, NLP, recommender systems or time-series forecasting relevant to our product.
• Familiarity with MLOps tooling (Kubeflow, Sagemaker, DataBricks) and model governance.
• Thai language skills or experience working in Southeast Asia markets

Position: Artificial Intelligence Analyst

**Open to Thai and Foreign Nationals

Job Summary:

We are seeking a highly driven
AI Analyst
to identify, evaluate, and implement cutting-edge AI tools and solutions across departments. The ideal candidate will bridge technology with business needs, driving AI adoption to enhance workflow efficiency, automate processes, and strengthen data-driven decision-making.

The successful candidate will act as a
change agent
, reporting directly to the
CEO and CFO
, and will play a pivotal role in embedding AI into the organization's DNA.

This position is also
open to internal candidates
who meet the qualifications and have a strong passion for driving innovation through AI.

Key Responsibilities:

• Identify and assess emerging AI tools that align with organizational goals and drive operational efficiency. Examples include:

ChatGPT, Claude, Gemini, Deepseek, Gamma

, Zapier, , Perplexity, MMLU-Pro, Browse.AI, RunwayML, Sora, Grok

AI website builders
(e.g., Durable, Framer AI),
stock image generators
(e.g.,
Midjourney, Leonardo AI, )

• Recommend and implement AI tools to automate repetitive tasks, improve analytics, enhance productivity, and reduce manual effort across the Company and its departments.
• Integrate AI tools with existing platforms or recommend integration strategies (e.g., CRM, ERP, Hotel Property Management systems, Hotel Revenue Management systems, Social Media and Marketing tools, Microsoft Office).
• Set up AI-driven automation pipelines (e.g., email automation, data extraction, workflow triggers).
• Conduct workshops and training sessions to promote AI tool adoption and help employees build team-level AI-driven solutions.
• Collaborate with cross-functional teams to apply AI in real-world scenarios such as customer segmentation, market research, content creation, graphic design, and web development.
• Create easy-to-follow documentation, SOPs, toolkits, and tutorials to support sustainable AI use internally.
• Monitor AI trends and tools to propose pilots, new solutions, and updates to existing processes.
• Ensure ethical use of AI in line with company policies, data privacy, and security standards.
• Deploying AI to drive cost efficiencies for the Company

Qualifications & Skills:

• Degree and/or work experience in Computer Science, Artificial Intelligence, Data Science, or a related fields.
• Under 30 years old.
• Minimum 1 year of experience applying AI tools in an organizational, business, or project-based context.
• Strong understanding of generative AI, natural language processing (NLP), workflow automation, and AI-powered analytics.
• Hands-on experience with a variety of AI tools, including but not limited to:

ChatGPT, Claude, Gemini, Deepseek, Gamma

, Zapier, , Perplexity, MMLU-Pro, Browse.AI, RunwayML, Sora, Grok

AI website builders
(e.g., Durable, Framer AI),
stock image generators
(e.g.,
Midjourney, Leonardo AI, )

• Familiarity with emerging tools and ability to learn and evaluate new AI platforms quickly.
• Knowledge of API integration, and platforms like Zapier, Notion AI, and Airtable is a plus.
• Basic proficiency in Python or JavaScript is preferred (for automating tasks or working with lightweight AI models).
• Strong project management, training, and communication skills.
• Highly curious, adaptable, and a fast learner with a genuine passion for new technologies and innovation.
• Strong leadership skills

We offer a unique opportunity for candidates to make a significant impact on multiple brands within our group. Join our team and be part of an exciting journey where you can bring your expertise and creativity to drive the success of our diverse businesses.

What We Offer:

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• A dynamic and supportive work environment.

Position: Artificial Intelligence Analyst

Job Summary:

We are seeking a highly driven AI Analyst to identify, evaluate, and implement cutting-edge AI tools and solutions across departments. The ideal candidate will bridge technology with business needs, driving AI adoption to enhance workflow efficiency, automate processes, and strengthen data-driven decision-making.

The successful candidate will act as a change agent, reporting directly to the CEO and CFO, and will play a pivotal role in embedding AI into the organization's DNA.

This position is also open to internal candidates who meet the qualifications and have a strong passion for driving innovation through AI.

Key Responsibilities:

• Identify and assess emerging AI tools that align with organizational goals and drive operational efficiency. Examples include: ChatGPT, Claude, Gemini, Deepseek, Gamma , Zapier, , Perplexity, MMLU-Pro, Browse.AI, RunwayML, Sora, Grok, AI website builders (e.g., Durable, Framer AI), stock image generators (e.g., Midjourney, Leonardo AI, )
• Recommend and implement AI tools to automate repetitive tasks, improve analytics, enhance productivity, and reduce manual effort across the Company and its departments.
• Integrate AI tools with existing platforms or recommend integration strategies (e.g., CRM, ERP, Hotel Property Management systems, Hotel Revenue Management systems, Social Media and Marketing tools, Microsoft Office).
• Set up AI-driven automation pipelines (e.g., email automation, data extraction, workflow triggers).
• Conduct workshops and training sessions to promote AI tool adoption and help employees build team-level AI-driven solutions.
• Collaborate with cross-functional teams to apply AI in real-world scenarios such as customer segmentation, market research, content creation, graphic design, and web development.
• Create easy-to-follow documentation, SOPs, toolkits, and tutorials to support sustainable AI use internally.
• Monitor AI trends and tools to propose pilots, new solutions, and updates to existing processes.
• Ensure ethical use of AI in line with company policies, data privacy, and security standards.
• Deploying AI to drive cost efficiencies for the Company

Qualifications & Skills:

• Degree and/or work experience in Computer Science, Artificial Intelligence, Data Science, or a related fields.
• Minimum 1 year of experience applying AI tools in an organizational, business, or project-based context.
• Strong understanding of generative AI, natural language processing (NLP), workflow automation, and AI-powered analytics.
• Hands-on experience with a variety of AI tools, including but not limited to: ChatGPT, Claude, Gemini, Deepseek, Gamma , Zapier, , Perplexity, MMLU-Pro, Browse.AI, RunwayML, Sora, Grok AI website builders (e.g., Durable, Framer AI), stock image generators (e.g., Midjourney, Leonardo AI, )
• Familiarity with emerging tools and ability to learn and evaluate new AI platforms quickly.
• Knowledge of API integration, and platforms like Zapier, Notion AI, and Airtable is a plus.
• Basic proficiency in Python or JavaScript is preferred (for automating tasks or working with lightweight AI models).
• Strong project management, training, and communication skills.
• Highly curious, adaptable, and a fast learner with a genuine passion for new technologies and innovation.
• Strong leadership skills

We offer a unique opportunity for candidates to make a significant impact on multiple brands within our group. Join our team and be part of an exciting journey where you can bring your expertise and creativity to drive the success of our diverse businesses.

What We Offer:

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• A dynamic and supportive work environment.

About us

StackWise is a modern AI consultancy focused on delivering intelligent, scalable, and practical AI solutions. We help businesses unlock the full potential of artificial intelligence with a strong emphasis on Generative AI, automation, and cloud-native infrastructure.

About the Role

We are seeking an experienced
AI Engineer with strong Azure expertise
to join our growing team. This role is ideal for a hands-on technologist who enjoys building real-world AI systems, solving complex problems, and leveraging Microsoft Azure's cloud ecosystem to deliver impactful solutions.

As part of StackWise, you'll work on cutting-edge AI and GenAI projects, supporting our clients across various industries on their journey toward intelligent automation and innovation.

Key Responsibilities

• Design and implement GenAI solutions using Microsoft Azure services (e.g., Azure AI Foundry, Azure OpenAI, Cognitive Services).
• Build and deploy Generative AI applications, including prompt engineering, RAG pipelines, and integration into business workflows.
• Collaborate with clients and cross-functional teams to understand business needs and translate them into scalable AI solutions.
• Optimize cloud-based AI architectures for performance, cost-efficiency, and maintainability.
• Contribute to solution design, architecture decisions, and best practice development in GenAI projects.
• Maintain and improve deployed systems with a focus on quality, reliability, and compliance.
• Stay up to date with advances in LLMs, LLMOps, and cloud-native AI tools.

Requirements

Must-Have Skills and Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 2–5 years of experience building and deploying AI solutions using Python frameworks.
• Proficiency in Python and experience with major LLM frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, etc.
• Solid understanding of Generative AI concepts, LLMs, and prompt engineering.
• Experience with CI/CD (Azure DevOps), containerization (Docker), and version control systems (Git).
• Strong English communication and client-facing skills.
• Ability to work independently and collaboratively in agile project teams.

Preferred Qualifications

• Experience with LLMOps tools (e.g., Langfuse).
• Exposure to Retrieval-Augmented Generation (RAG), vector databases (e.g., Azure AI Search, Qdrant), or agent frameworks.
• Background in consulting, with a proven track record of delivering AI solutions for enterprise clients.
• Familiarity with data security, privacy, and responsible AI practices.

What We Offer

• Competitive salary with performance-based bonuses.
• Work with a highly skilled, mission-driven team in a fast-growing AI consultancy.
• Opportunity to lead and contribute to impactful GenAI projects across industries.
• Flexible working arrangements and a focus on work-life balance.
• Access to continuous learning and professional development resources.
• A collaborative and supportive culture that values innovation, ownership, and transparency.
• Chance to shape the future of AI adoption in real businesses.

How to Apply

If this sounds like the right role for you, send your resume and a short cover letter to - or apply directly via LinkedIn.

Senior AI/ML Consultant – Cloud & Business Transformation (ASEAN)

We are seeking a senior, business-oriented AI/ML practitioner with deep technical expertise and hands-on cloud implementation experience. This role is ideal for someone who thrives at the intersection of technology and business strategy—delivering scalable machine learning solutions that drive real-world impact across industries.

You'll work closely with customers to explore the art of the possible with machine learning, lead complex engagements from ideation to delivery, and provide technical leadership across architecture, stakeholder management, and solution implementation.

Key Responsibilities

• Advise technologists and business leads on scalable ML solutions that deliver measurable business value
• Lead pre-sales and delivery engagements across FSI, Telco, Retail, and other sectors
• Conduct workshops to identify opportunities and scope ML-driven transformation
• Drive architecture design, implementation, and stakeholder alignment
• Ensure delivery excellence across scope, timeline, and outcomes

Basic Qualifications

• 5+ years of experience designing and implementing ML solutions
• Bachelor's degree in Computer Science, Engineering, or related field
• Strategic thinker with strong customer-facing experience
• Minimum 3 years working in the ASEAN region, with willingness to travel for client engagements

Preferred Qualifications

• Experience with cloud platforms and services (e.g., compute, storage, ML tools)
• Professional-level cloud certifications (e.g., Solutions Architect, DevOps Engineer)
• Proficiency in automation and scripting (e.g., Terraform, Python)
• Familiarity with security and compliance standards (e.g., HIPAA, GDPR)
• Strong communication skills across technical and non-technical audiences

For more information you can contact
Norean Tan at

We regret to inform you that only shortlisted candidates will be notified / contacted.

EA Registration No.: R
- Tan Lee Ying, Norean

iKas International (Asia) Pte Ltd

ROC No.: E | EA License No.: 16S8086