121 AI Ml Engineer jobs in Thailand

"Work Where Wow, Happens Every Day"

Become Our: AI/ML Engineer

Why You'll Love Being Part of Our Team:

Join KBTG – where innovation drives impact With a purposeful mission, collaborative spirit, and a positive attitude, we create fintech solutions that empower. Be part of the future

How You'll Make an Impact:

• Designs, builds and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources
• Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required
• Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis
• Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements
• Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs
• May be internal or external, client-focused, working in conjunction with Professional Services and outsourcing functions
• May include company-wide, web-enabled solutions
• See also, Data Analytics - Data Analyst (TE DADA) focus if responsible for building technical tools, dashboards and database scripts to consolidate and report on data from multiple sources and applications systems
• See also, Internet / Network Operations - Network Systems (ITE INNS) or Data Management - Database Administration / Design (TE DMDA) focus if responsible for administering databases for hardware or software systems
• See also, Data Management - Storage Engineer (TE DMSE) focus if responsible for cloud databases.

What Will Set You Up for Success:

• Bachelor's or Master's in Computer Science, Data Science, AI/ML, or related field
• Strong skills in Python/R/Scala and frameworks like TensorFlow, PyTorch, Scikit-learn.
• Experience designing and deploying end-to-end AI/ML pipelines (data ingestion, modeling, deployment).
• Proficiency with cloud platforms (AWS, Azure, GCP), big data frameworks (Spark, Hadoop), and MLOps practices.
• Proven ability to translate business requirements into scalable AI/ML solutions using structured and unstructured data.
• Proven experience in banking industry.
• Strong analytical and proven ability to quickly understand complex business and systems and provide appropriate solution
• Drive practically with passion.
• Innovate to beat the best and adaptable to change.
• Strong teamwork and open communication.
• Proactive, resilient, and optimistic mindset.

Embracing IDEA (Inclusion, Diversity, Equity, and Accessibility):

At KBTG, diversity fuels innovation.  We embrace different perspectives, foster an inclusive culture, and create opportunities for growth. Be yourself, make an impact, and grow with us. Join us.

Rewards That Go Beyond the Paycheck:

• Hybrid Working – Balance office collaboration and remote flexibility.
• Competitive Provident Fund – Secure your future with high contributions.
• Financial Wellness – Expert support and tools for managing finances, including home loans.
• Comprehensive Health Coverage – Enjoy peace of mind with top-tier health insurance and annual health check-ups for you, your spouse, and your children.
• Flexible Benefits – Customize your perks with generous policies, including support for work-from-home equipment, wellness, and more.
• Wellness & Comfort – Recharge in our Nap Room, enjoy occasional massages, and access mental wellness support via Occa.
• Business Travel & Commuting Support – Enjoy Grab for Business rides and other travel perks for professional journey with ease and convenience.
• Continuous Learning – Access Udemy, Coursera, and top training programs.
• K Point Reward – Earn points and enjoy exciting rewards as you grow with us.

Job Description:

As an AI/ML Engineer, you will design, develop, and implement state-of-the-art artificial intelligence and machine learning models. You will work closely with data scientists, software engineers, and product managers to build innovative solutions that improve business outcomes. The ideal candidate is passionate about AI/ML, stays updated with the latest advancements, and can effectively communicate technical concepts to non-technical stakeholders.

Responsibilities:

• Design and develop machine learning models and algorithms to address business needs.
• Implement and optimize AI/ML models for real-time performance and scalability.
• Develop applications using appropriate programming languages.
• Manage application development following SDLC methodology while ensuring compliance with regulations.
• Stay updated with the latest IT application technologies to adopt best practices.
• Identify areas for improvement in existing programs and implement necessary modifications.

Requirements:

• At least 3 years of experience in software engineering with a focus on AI, ML, OCR, and Image Processing.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong proficiency in TypeScript, Angular 18, and NestJS.
• Familiar with database management using PostgreSQL, MongoDB, and Oracle.
• Knowledge of Windows and Linux environments related to frontend deployment.
• Hands-on experience with DevSecOps tools such as Jenkins, Bitbucket, and Nexus.
• Experience in Docker and Kubernetes for containerization and deployment.

Support:

• Contribute to the CVWeb Project, focusing on identity verification systems such as NDID, E-KYC, Face Recognition, and OCR.

Job description :

• Design and develop robust NLU models to support the internal chatbot platform, including intent classification and entity recognition.
• Maintain, monitor, and continuously improve the performance of deployed NLU models in real-world scenarios.
• Research and explore the practical applications of Generative AI (e.g., Large Language Models) for various business use cases across the organization.
• Apply NLP, Machine Learning, and AI techniques to broader enterprise applications, including but not limited to image processing, optical character recognition (OCR), and semantic search.
• Collaborate closely with cross-functional teams including project/product owners, chatbot designers, and software engineers to ensure seamless AI integration into business workflows.

Qualifications :

• Minimum of 3 years of experience in developing and deploying Machine Learning systems, with at least 2 years of hands-on experience in Natural Language Processing (NLP).
• Proficiency in Python, with strong coding and software engineering practices.
• Solid understanding of Thai NLP challenges and experience working with Thai language datasets and tools.
• Strong knowledge of both classical machine learning and deep learning methods applied to NLP tasks, such as Text Classification, Named Entity Recognition, and Sequence Labeling.
• Experience with the development and application of Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) for domain-specific chatbots.
• Familiarity with machine learning frameworks and libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, or Hugging Face Transformers.
• Understanding of Prompt Engineering techniques for optimizing LLM-based systems.
• Experience in Image Processing or Computer Vision (e.g., Multi-task Learning, Image Classification, Optical Character Recognition) will be considered a significant advantage.
• Strong knowledge of API design and integration, including RESTful APIs.
• Experience with chatbot development frameworks such as Google Dialogflow, Rasa, IBM Watson, or is a plus.
• Familiarity with Thai NLP tools such as PyThaiNLP is an advantage.

Working location: Krungsri Ploenchit Office (KSPO)

Good remuneration package will be rewarded and also excellent future career growth opportunity is available for the right candidate.

Please submit your application letter, resume stating qualifications and experiences, stating recent & expected salary to the following address:

Human Resources Department

Krungsri Consumer

17 Fl., Krungsri Ploenchit Tower

550 Ploenchit Rd., Lumpini,

Pathumwan, Bangkok 10330

Contact person:Supansa (FON)

Contact number:

หมายเหตุ กลุ่มบริษัทกรุงศรี คอนซูมเมอร์ (บริษัทฯ) มีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงาน

ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของบริษัทฯ ได้ โดยการพิมพ์ลิงค์ 

Job Description:

As an AI/ML Engineer, you will design, develop, and implement state-of-the-art artificial intelligence and machine learning models. You will work closely with data scientists, software engineers, and product managers to build innovative solutions that improve business outcomes. The ideal candidate is passionate about AI/ML, stays updated with the latest advancements, and can effectively communicate technical concepts to non-technical stakeholders.

Responsibilities:

• Design and develop machine learning models and algorithms to address business needs.
• Implement and optimize AI/ML models for real-time performance and scalability.
• Develop applications using appropriate programming languages.
• Manage application development following SDLC methodology while ensuring compliance with regulations.
• Stay updated with the latest IT application technologies to adopt best practices.
• Identify areas for improvement in existing programs and implement necessary modifications.

Requirements:

• At least 3 years of experience in software engineering with a focus on AI, ML, OCR, and Image Processing.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong proficiency in TypeScript, Angular 18, and NestJS.
• Familiar with database management using PostgreSQL, MongoDB, and Oracle.
• Knowledge of Windows and Linux environments related to frontend deployment.
• Hands-on experience with DevSecOps tools such as Jenkins, Bitbucket, and Nexus.
• Experience in Docker and Kubernetes for containerization and deployment.

Support:

• Contribute to the
  CVWeb Project
  , focusing on identity verification systems such as
  NDID, E-KYC, Face Recognition, and OCR
  .

Manatal
is an HRTech software service (B2B SaaS) company headquartered in Bangkok, Thailand. Manatal is one of the fastest-growing start-ups in the region and is backed by Surge and Sequoia Capital.

Manatal has a global presence and is trusted by thousands of businesses in over 135 countries and is recognized by Forbes as Best Recruiting Software of 2024 & 2025. Our goal is to transform the entire hiring process by making it simple, efficient, and enjoyable for recruiters, hiring managers, and candidates alike.

Our mission is to offer the best-in-class AI-powered technologies to empower small, medium, and large businesses in their staffing & recruitment transformation.

Responsibilities

• Design, build, and scale AI and GenAI features within Manatals recruitment platform
• Lead the development of:
• AI agents for candidate screening and communication
• Semantic search and matching engines
• Resume parsing in multiple languages
• Generative tools for resume/job summarization, enrichment, and candidate sourcing
• Natural language interfaces using LLMs (e.g., OpenAI, Claude, Mistral)
• Own end-to-end ML and GenAI workflows: data preparation, model training/fine-tuning, evaluation, and production deployment
• Continuously evaluate and optimize models for accuracy, latency, and cost
• Collaborate with product and engineering teams to deliver robust, scalable, and user-friendly AI features
• Stay up-to-date with the latest research, tools, and APIs in AI and GenAI and bring innovative ideas into the product
• Help define best practices for safe, efficient, and reliable deployment of AI/GenAI systems in production

Requirements

• Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or a related quantitative field
• Proven experience as a software engineer, with ownership of features deployed in production environments
• Solid understanding of the full software development lifecycle, including CI/CD, monitoring, and observability in high-load systems
• Strong programming skills in Python, with hands-on experience using libraries like NumPy, Pandas, Scikit-learn, Transformers, and TensorFlow or PyTorch
• Experience working with LLMs (e.g., OpenAI, Claude, Mistral) and frameworks for GenAI development (LangChain, PromptLayer, etc.)
• Solid grounding in machine learning algorithms supervised, unsupervised, and deep learning
• Experience with experiment design, model evaluation, A/B testing, and metrics-driven development
• Proficiency in SQL and working with large datasets (data cleaning, feature engineering, etc.)
• Good knowledge of cloud infrastructure, especially AWS (e.g., S3, EC2, Lambda)
• Familiarity with containerization and orchestration tools (e.g., Docker, ECS, Kubernetes)
• Strong understanding of modern web application architectures and APIs
• Excellent communication skills and ability to work cross-functionally
• Experience in a B2B SaaS environment is a strong plus
• Bonus: exposure to MLOps practices (model versioning, monitoring, retraining pipelines)

Working with Manatal

• This role is based at our Bangkok office in the heart of the city center
• As a team of diverse cultures and nationalities, English language proficiency is required
• We enjoy collaborating in person and the team is working on-site

Why you'll enjoy working with Manatal

• Well-funded start-up backed by Surge & Sequoia
• Be part of one of the fastest-growing B2B SaaS start-ups in the region
• You will be collaborating with talented individuals in the industry
• Join a lively and highly international team
• Indulge in a challenging and innovative working culture
• Attractive medical healthcare plan
• Personal development allowance
• 2 weeks of work from anywhere per year
• Regular fun team-building activities
• Company trip

Our Tech Stack

Our engineering team leverages a variety of modern technologies. While working with Manatal, you can expect to be exposed to the following stack

• Infrastructure: Amazon Web Services; Kubernetes; GitOps (ArgoCD), Github Actions
• Backend: Language: Python; Web Frameworks: Python frameworks including Django, Fast API; Databases: PostgreSQL, MongoDB, ElasticSearch, and Redis among others; Other: Celery, RabbitMQ among others.
• Frontend: Javascript & Vue.JS

Apply on our Careers Page

If you are a fit for this role and excited to join Manatal, please follow this link to apply

Watch our Demo

Manatal Hiring

At Manatal, we are dedicated to building an intuitive AI-powered applicant tracking system to streamline and transform the entire hiring and recruitment process.

We are devoted to attracting the best talent worldwide to join our team and take pride in being an equal-opportunity workplace. We are committed to equal employment opportunities regardless of religion, race, ethnicity, ancestry, national origin, gender, gender identity, sex, sexual orientation, marital or parental status, disability, age, citizenship or other class protected by applicable law.

Responsibilities

• Design, build, and scale AI and GenAI features within Manatals recruitment platform
• Lead the development of:
• AI agents for candidate screening and communication
• Semantic search and matching engines
• Resume parsing in multiple languages
• Generative tools for resume/job summarization, enrichment, and candidate sourcing
• Natural language interfaces using LLMs (e.g., OpenAI, Claude, Mistral)
• Own end-to-end ML and GenAI workflows: data preparation, model training/fine-tuning, evaluation, and production deployment
• Continuously evaluate and optimize models for accuracy, latency, and cost
• Collaborate with product and engineering teams to deliver robust, scalable, and user-friendly AI features
• Stay up-to-date with the latest research, tools, and APIs in AI and GenAI and bring innovative ideas into the product
• Help define best practices for safe, efficient, and reliable deployment of AI/GenAI systems in production

Requirements

• Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or a related quantitative field
• Proven experience as a software engineer, with ownership of features deployed in production environments
• Solid understanding of the full software development lifecycle, including CI/CD, monitoring, and observability in high-load systems
• Strong programming skills in Python, with hands-on experience using libraries like NumPy, Pandas, Scikit-learn, Transformers, and TensorFlow or PyTorch
• Experience working with LLMs (e.g., OpenAI, Claude, Mistral) and frameworks for GenAI development (LangChain, PromptLayer, etc.)
• Solid grounding in machine learning algorithms supervised, unsupervised, and deep learning
• Experience with experiment design, model evaluation, A/B testing, and metrics-driven development
• Proficiency in SQL and working with large datasets (data cleaning, feature engineering, etc.)
• Good knowledge of cloud infrastructure, especially AWS (e.g., S3, EC2, Lambda)
• Familiarity with containerization and orchestration tools (e.g., Docker, ECS, Kubernetes)
• Strong understanding of modern web application architectures and APIs
• Excellent communication skills and ability to work cross-functionally
• Experience in a B2B SaaS environment is a strong plus
• Bonus: exposure to MLOps practices (model versioning, monitoring, retraining pipelines)

Job Overview

AI/ML Engineer will drive AI innovation in the EdTech industry, managing the end-to-end development of machine learning pipelines, deploying models into production, and overseeing MLOps operations for AI solutions. This role involves leading AI teams, collaborating with data scientists and engineers, and driving AI adoption in business applications.

Responsibilities:

• Lead AI/ML projects from ideation to production, ensuring scalability, efficiency, and real-world applicability in EdTech.
• Collaborate with data scientists and engineers to develop and optimize machine learning models.
• Design and implement end-to-end AI solution with a strong focus on data quality, model performance, and user engagement.
• Work closely with other teams to integrate machine learning models into our AI solutions.
• Oversee MLOps practices, ensuring smooth deployment, monitoring, and model retraining to improve AI-driven learning tools.
• Research and integrate emerging AI technologies to enhance learning outcomes, such as LLM fine-tuning, reinforcement learning for adaptive learning, and RAG-based AI for intelligent search.
• Provide technical mentorship and leadership to junior AI/ML engineers, fostering an innovative and collaborative AI team.
• Ensure AI solutions align with business goals, comply with educational regulations, and maintain data privacy and security standards.

Qualifications:

• Master's or Bachelor's degree in Computer Science, Data Science, AI, or related fields.
• 5+ years of experience in AI/ML, with at least 1+ years in a leadership role.
• Expertise in Python, ML frameworks (NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn), and cloud/big data technologies (AWS, GCP, Azure, Hadoop, Spark), and NLP libraries (NLTK, spaCy).
• Experience with NLP models, LLM fine-tuning, and AI chatbot development using frameworks like LangChain, LlamaIndex.
• Machine Learning expertise in Object detection, OCR and/or NLP ranking, recommendations, classification algorithms.
• Experience with vector databases (Elasticsearch, Pinecone, Weaviate) and RAG-based AI solutions.
• Strong knowledge of MLOps, including CI/CD for ML models, model monitoring, and retraining strategies.
• Experience deploying ML models in production environments and working with cloud-based AI solutions.
• Proficiency in AI chatbot development using LangChain, LlamaIndex, or related frameworks.
• Strong communication and leadership skills with the ability to collaborate across teams.

Preferred Qualifications:

• Experience in the EdTech industry, developing AI-powered educational tools or adaptive learning platforms.
• Familiarity with Thai NLP and experience with PyThaiNLP for language-specific applications.
• Hands-on experience with Kubernetes, Docker, and cloud-based AI/ML services.
• Strong understanding of AI ethics, bias mitigation, and responsible AI practices in education.

Location: Thailand (preferred)

Sector: Travel-Tech (Tech + Tourism)

Reports to: Head of Product & Engineering

Experience: Minimum 5+ years proven professional experience in AI/ML

We're looking for a senior AI/ML engineer to design, build and productionize agentic workflows - both customer-facing (conversational agents, booking assistants, itinerary automations) and internal business-operations agents (automated ops, ticket triage, data pipelines). You'll own end-to-end model design, orchestration, evaluation, deployment and monitoring, and help the company safely scale LLM/agent capabilities into product features and internal automation.

• Design and implement agentic workflows that combine LLMs, structured code/ tools, external APIs, and state management to solve real product and ops problems.
• Build conversational assistants, tool-using agents and autonomous pipelines (RAG/GraphRAG + planning + execution).
• Create reliable retrieval, vector search and RAG/GraphRAG stacks (indexing, embeddings, vector DBs, caching, freshness).
• Fine-tune and evaluate models (instruction-tuning, RHL/ RLHF concepts, adapter/lightweight fine-tuning) and curate datasets for supervised and reinforcement objectives.
• Implement orchestration for multi-step agent flows (LangChain / custom orchestrators / workflow engines / task queues).
• Productionize ML systems: containerize, build CI/CD for models and pipelines, deploy to cloud/Kubernetes, and run inference at scale.
• Build observability: metrics, logging, hallucination detection, drift monitoring, cost controls, and experiment tracking.
• Collaborate closely with Product, Engineering and Design to translate use cases into safe productized agents.
  
  Create best practices for prompt engineering, safety/failure modes, data governance and PII handling.
• Mentor more junior ML engineers and help shape ML architecture and roadmap.

• 5+ years of hands-on experience in applied ML/AI engineering.
• Strong software engineering skills in Python (primary). Experience in production ecosystems.
• Experience building LLM-based applications and agentic systems (prompting, chains, tool use, state management). Familiarity with frameworks like LangChain, LlamaIndex, or similar.
• Practical experience with vector databases / embedding stores (e.g., Pinecone, Milvus, Weaviate, or self-hosted alternatives) and building retrieval pipelines.
• Solid knowledge of machine learning fundamentals: supervised learning, evaluation metrics, overfitting, model selection, and inference-time tradeoffs.
• Experience with data pipelines and data engineering for ML (ETL, streaming or batch ingestion, dataset versioning).
• Production deployment experience: Docker, Kubernetes, CI/CD for ML (model/package deployment), and model serving (e.g., TorchServe, FastAPI, BentoML, KFServing, or cloud model endpoints).
• Experience integrating with cloud platforms (AWS / GCP / Azure) and their ML/infra tooling.
• Familiarity with experiment tracking and model registry tools (MLflow, Weights & Biases, etc.).
• Strong engineering discipline: testing, code reviews, reproducibility, and instrumentation.
• Excellent problem solving and communication skills — able to work cross-functionally and present technical tradeoffs to product stakeholders.

• Prior experience building customer-facing conversational agents, booking assistants, recommendation systems or automation in travel/hospitality.
• Background in RL, RLHF, or multi-agent systems research/engineering.
• Experience with specialized model hosting (Hugging Face, Ollama, Replicate) or self-hosting large models.
• Familiarity with privacy safe-guards, secure data handling and compliance (PII/PDPA/GDPR).
• Strong experience with Go or for building agent microservices.
• Publications, open-source contributions or public demos of agentic systems.

We are looking for an AI/ML Engineer to join our team. You will design, develop, deploy AI/ML models, MLOps pipelines, and AI-powered marketing tools that transform customer engagement and accelerate business growth

Key Responsibilities :

• Design, develop, and operate AI/ML models for personalization, recommendation systems, segmentation, churn prediction, and campaign optimization.
• Build and manage MLOps pipelines to enable scalable, automated, and reliable model deployment.
• Collaborate with cross-functional teams to design and implement AI-powered marketing solutions (automation, predictive marketing, real-time decisioning).
• Apply NLP, Generative AI, sentiment analysis, and advanced analytics to improve marketing strategies and customer experiences.
• Build and optimize data pipelines, data marts, and feature engineering workflows to support AI/ML initiatives and dashboards.
• Conduct research and exploration of emerging AI/ML and MarTech technologies to ensure continuous innovation and adoption of best practices.
• Qualifications and Experiences Required :
• Bachelor's degree or higher in Computer Science, Data Science, AI/ML, Engineering, or related fields.
• 2–3+ years of experience in Machine Learning / Deep Learning.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with MLOps tools (MLflow, Docker, Kubernetes).
• Familiarity with Cloud platforms and Big Data.
• Strong ability to connect business/marketing needs with AI/ML solutions is a plus.
• Experience in MarTech platforms (CDP, CRM, Marketing Automation, AdTech) is a plus.
• Proven record of developing AI-driven marketing solutions (recommendation engines, chatbots, marketing attribution) is a plus.
• Experience with Generative AI (LLMs, image/video generation) is a plus.

Benefits:

• Hybrid Working Arrangement
• World-Class Development Program
• Performance Bonus
• Vacation Leave 15 Days + Maternity Leave
• MacBook Provided
• Housing Loan
• Life Insurance/ Health Insurance/ Dental Care
• Fitness Discount (Corporate rate and privilege)
• Opportunity to be a part of team that drives Thailand Digital Economy (The contributor of the great impact to millions of Thai people through digital platforms e.g. PaoTang App. and Krungthai Next App)

Working Location:

The ParQ ชั้น 5, 9-10

ติดกับ MRTสถานีศูนย์การประชุมแห่งชาติสิริกิติ์ ทางออกที่ 2