127 Machine Learning Engineer jobs in Thailand

Partner of choice as an integrated AI & Robotics Solution provider

Job Summary
This role leads the strategic development and execution of machine learning initiatives within the organization. As a supervisor Machine Learning Engineers, the role involves setting the technical direction, overseeing project delivery, and ensuring the team's alignment with business objectives. Machine Learning Specialist will also collaborate with cross-functional teams to ensure that ML solutions are efficient, scalable, and impactful.

Duties and Responsibility

• Define the strategy and roadmap for machine learning initiatives across the organization.
• Provide technical guidance, performance reviews, and mentorship to team members.
• Oversee the design, development, and deployment of ML models that solve complex business problems.
• Ensure that ML models are scalable, secure, and comply with data privacy and governance regulations as well as project budgets, timelines, and resources.
• Lead research efforts to explore new technologies and methodologies in machine learning to maintain a competitive edge in technologies and practices.
• Monitor model performance, ensure continuous improvement through optimization, and address production issues as needed.
• Enforce SSHE policies and environmental compliance in all working areas.
• Perform other related duties as assigned

Key Measurement

• Successful rate of model deployment (accuracy, precision, recall, etc.).
• ML projects deliverables.
• Percentage improvement in model performance and optimization.
• ML initiative impacts on business goals.
• Innovation in machine learning methods.

Experience

• Bachelor 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

Skills And 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.

Competencies

• I DREAM - Passion
• I DREAM - Fun
• I DARE - Innovate
• I DARE - Drive Result
• WE DO - Respect
• WE DO - Teamwork

About Bluebik – Ambition to Reality

Bluebik is the leading consultancy focusing on comprehensive advice on digital transformation to transform the capabilities of our clients through technological application. We provide transformation consulting consists of Management Consulting – advice on strategies and management, Digital Excellence & Delivery covering in-depth recommendations on digital and technological development within organizations, Strategic PMO – advice on tangible benefits and significant cost saving through clients' business process, Big Data & Advanced Analytics – provide end to end solution for Big Data & Advanced Analytics from strategy to implementation.

Work you will do

• Design, develop, and deploy machine learning models.
• Build end-to-end machine learning pipelines for data preprocessing, model training, evaluation, and deployment.
• Implement scalable and optimized machine learning solutions that can handle large datasets in real-time environments.
• Collaborate with data scientists, engineers, and business stakeholders to understand requirements and deliver solutions that align with organizational goals.
• Conduct research on the latest trends in machine learning and AI, and bring innovative ideas to the team.
• Ensure the maintainability, scalability, and robustness of machine learning models through rigorous testing and optimization.
• Monitor and troubleshoot production systems, ensuring reliability and performance at scale.
• Stay updated with the latest machine learning trends and technologies.

Let us Talk About You

If you are someone with:

• Bachelor's degree or higher in Computer Engineering, Computer Science, or IT related fields.
• 2+ years of experience in machine learning, data science, or a related field.
• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
• Strong experience in data analysis, data preprocessing, feature engineering, and working with large datasets.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and deploying machine learning models in production.
• Solid understanding of algorithms, optimization techniques, and statistical modeling.
• Expertise in deep learning techniques, such as CNNs, RNNs, GANs, etc., is highly desirable.
• Familiarity with version control tools (e.g., Git) and CI/CD practices.
• Strong problem-solving skills, attention to detail, and ability to think critically.

Why work with us

We are a team of experts in a talented community, a collaborative atmosphere where creativity is encouraged. People First, by putting people at the heart of our priorities, we foster a work environment where you can excel and grow personally and professionally. Bluebik is strived for growth and expansion, and you can be part of our success story. We combine strategy, digital delivery excellence and deep technology advisory to help our clients transform their business. At Bluebik, your career advancement starts with actions. You can manage your own career and will advance based on performance. We collaborate to create unique and outstanding experiences with our talents to empower learning and growth opportunities. Whatever your ambitions, Bluebik offers you with a highly inclusive community of talents from both tech and business worlds to realize your full potential.

What we offer

We offer impactful and challenging work with mentorship and support from direct managers and subject matter experts. You will have autonomy to manage your career path with endless opportunities for professional growth. Our comprehensive benefit package covers medical insurance, life, accident and disability insurance, wellness allowance, vaccination allowance, providence fund, flexible working arrangement, and Professional certification. Bluebik provides opportunities to become the best version of yourself

Equal opportunity

Bluebik is an equal opportunity employer. We owe our success to the talents of our diverse team and the varying perspectives they add to our thriving community.

Recruitment agencies

Bluebik does not accept unsolicited resumes sent by recruiting agencies. Please do not forward resumes to our job postings, Bluebik employees or other parts of the business. Bluebik will not be liable to pay any fees to agencies for candidates hired as a result of unrequested resumes.

About The Role
We are seeking an experienced Machine Learning Engineer with a strong focus on Computer Vision to join our advanced AI team.

What You'll Be Doing

Design, build, and deploy scalable computer vision systems using deep learning.

Develop models for tasks such as classification, detection, segmentation, and visual quality assessment.

Collaborate with data scientists and engineers to refine data pipelines and training datasets.

Optimize models for performance across cloud and edge platforms.

Stay up to date with the latest in computer vision research and apply relevant advancements.

What We Are Looking For

3+ years of experience in Machine Learning, with at least 2 years focused on computer vision.

Proven track record of delivering vision-based ML products or research.

Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow).

Strong Python programming skills; familiarity with OpenCV and image processing libraries.

Solid understanding of convolutional neural networks (CNNs), transformers, and related architectures.

Experience with model optimization and deployment on cloud or edge devices.

Nice to Have

Experience with video analytics, multi-modal models, or synthetic data generation.

Publications or open-source contributions in the field of computer vision.

Familiarity with MLOps tools (MLflow, DVC, Docker, etc.).

Championing diversity, equity, and inclusion
Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.

How We Look After You
We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status
or any other protected characteristic.
Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Our Company

Do you want to be part of Thailand banking transformation? Data is the core of the new financial services era, and we are open for the opportunity to be part to drive this change at the core.

SCB DATAx is a new venture of the Siam Commercial Bank (SCB) holdings, a leading financial services and digital services holdings in Thailand and ASEAN.

As part of the transformation of SCB into a group of product and technology companies, under the SCBx brand, SCB DATAx is the technology company to centralize data and provides AI and data science services and products to the group.

With a leading-edge cloud native data & AI platform, our vision is to support the group to providing everyone in our region with the opportunity to prosper.

We work on forward-thinking challenges of centralizing, analyzing and sharing information. We collaborate with companies and experts in many different domains, embrace diversity and all that while having a good laugh and joy in work.

About Team & Role

We're seeking an experienced ML to architect, lead and implement production-grade machine learning pipelines & system. You'll drive best practices for deploying and maintaining models efficiently, enabling our teams to leverage advanced solutions at scale.

Your Responsibility:

• Architect and implement production ML systems at scale
• Lead MLOps infrastructure decisions and establish engineering best practices
• Design robust ML monitoring and observability solutions
• Build and optimize feature stores and model serving platforms
• Mentor team members on ML engineering practices
• Design and implement both batch and real-time ML systems
• Lead cross-functional ML initiatives
• Establish ML engineering best practices
• Drive adoption of MLOps tools and practices

Technical Skills Required:

• Production ML system architecture and implementation
• Feature engineering and feature store design
• ML code performance tuning
• Model optimization and deployment strategies
• Databricks Suite: (Delta Lake, MLflow, Feature Store, Unity Catalog, Workflow orchestration)
• Cloud platform expertise (preferably Azure)
• Kubernetes orchestration
• Infrastructure as Code (Terraform)
• CI/CD pipeline design (GitHub Actions)
• Advanced Python development
• Test-driven development practices
• SQL and data modeling

Qualifications:

• 5+ years of hands-on ML engineering in production environments
• Bachelor's degree in computer science, engineering, or related field

It's Great if You background on

• Experience with real-time Generative AI applications
• Open-source contributions
• Technical leadership experience

Machine Learning Engineer

We are opened subsidiary of Muangthai Group Holding, with a mindset of a technology start-up. We are looking to provide various AI-as-a-service to various businesses with our own proprietary models of AI and machine learning. If you are self-motivated, want to be part of the new trend of technology, join us to be part of the growth story.

Location: Bangkok

Employment type: Permanent

Job Description

• Research and development of machine learning models and algorithms to solve complex business challenges.
• Develop robust and scalable API applications for deploying and serving machine learning models in a production setting.
• Work closely with data annotation specialists to ensure the creation of high-quality, labeled datasets.
• Collaborate with DevOps engineers to streamline the deployment and monitoring of ML systems.

Qualification

• Minimum of Bachelor's degree in Computer Engineering, Computer Science, or related field.
• Good knowledge and experience with Python and packages commonly used for Machine Learning and Deep Learning or other programming languages.
• Proven experience in and understanding of machine learning, computer vision, and software development.
• Experience with public cloud provider (AWS, GCP, Azure) or deployment of web service is a plus.
• Academic publications in standard journals or conferences is plus.
• Medal from international or high-ranking national competition is plus.

Our Benefits

• Competitive salary
• Bonus
• Health and life insurance plan
• Provident fund
• Flexible working hours and work environment
• Company sponsored laptop

We're Hiring: Machine Learning Engineer (Audio & Generative AI)

Company: Epitome Labs

Location: Remote (Candidates in Bangkok/Myanmar preferred)

Type: Part-time

About Us

Epitome Labs is building the next generation of AI for musical creativity. We believe the future of AI lies in combining audio intelligence, sequence modeling, and generative systems into experiences that feel seamless and human.

We're forming a small, ambitious team to push the limits of what's possible with AI and music — and we're looking for a Machine Learning Engineer who thrives on turning research into production.

Role Description

As an MLE at Epitome Labs, you will:

• Implement and optimize libraries and frameworks for audio analysis and generation.
• Apply transformers, diffusion, and sequence models to complex time-series data.
• Adapt and fine-tune open-source models for production use.
• Build efficient training and inference pipelines for low-latency performance.
• Collaborate with engineers and product leads to integrate ML into real-world creative workflows.

Job Requirements

• Strong background in Machine Learning / Deep Learning (PyTorch or TensorFlow).
• Experience with audio signal processing or time-series modeling.
• Hands-on with transformers, diffusion, or generative architectures.
• Strong engineering skills in Python and modern ML frameworks.
• Bonus: Interest in music, arts, or creative technology.

Why Join Us

• Be part of a small founding team building AI for creativity.
• Your models will move beyond research into real-world applications.
• Competitive pay and an opportunity to shape a new product category.
• Gain rare experience at the intersection of AI and music.

How to Apply

Send your CV and portfolio/GitHub to 

Epitome Labs — "The Epitome of Humanity Is Yet to Come."

Responsibilities

• Design, develop, and deploy AI and machine learning models for various business applications, such as risk assessment, fraud detection, customer behavior prediction, and claims automation.

• Collaborate with cross-functional teams (Data Engineers, Data Scientists, IT, Business Units and Vendor) to identify opportunities where AI/ML can drive value.

• Develop and optimize algorithms for LLMs, computer vision, and predictive analytics in insurance-related use cases.

• Conduct data exploration, feature engineering, and model validation to ensure accuracy and robustness.

• Stay updated on emerging AI/ML technologies, tools, and best practices, and recommend adoption for business growth.

• Document and communicate results, insights, and technical solutions clearly to both technical and non-technical stakeholders.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or related fields.

• Proven experience (2–5 years) in AI/ML model development, deployment, and optimization.

• Strong proficiency in Python, R, or Java, and frameworks such as TensorFlow, PyTorch, Scikit-learn

• Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.

• Solid understanding of data structures, algorithms, and software engineering principles.

• Strong problem-solving, analytical, and communication skills.

• Knowledge of insurance industry is an advantage.

If interested, please apply to (Tech_Roles)=Senior%20Machine%20Learning%20Engineer

Job summary

Our machine learning engineers are responsible for creating innovative approaches to harness the power of data to solve real-world problems. They are fluent in programming and have superior analytical skills. They must have a very strong background in artificial intelligence and machine learning; both in theory and application. We expect our ML engineers to not only be able to train and create machine learning models, but to understand at an intuitive level why some techniques work better than others.

As a senior machine learning engineer, we expect you to have a strong academic background. You should be able to read, understand, and criticize papers in order to apply the greatest and latest advances to solve our problems. We expect you to oversee ML project(s), which will involve supervising junior ML engineers.

Responsibilities

• Lead a small R&D group working on AI projects in one of areas such as computer vision or NLP.
• Design and implement ML algorithms to solve real-world problems.
• Work with business analysts and project managers to develop novel AI-based solutions.

Preferred requirements & competencies

• PhD in Artificial intelligence, Data Mining or related areas OR a Master's degree with 4+ years of experience.
• Strong analytical and logical thinking skills.
• Passion in using data and ML to solve challenging problems.
• Open-minded and eager to learn.

What We Value

• People with strong logic skills who value evidence over emotions
• People who not only solve problems, but also understand their solutions
• Team members who have a high sense of ownership in their work
• Team players who are always looking for ways to help out others
• People who are proactive and take initiative

Work in a relaxed style, many benefits, including

Competitive salary Snack room, eat all day free

Flexible hours Provident Fund

Group insurance With many recreational activities

Provident fund Work from home benefits

Board games, football, badminton, musical instruments, etc.

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.