Engineering Jobs in Bangkok, Thailand (Now Hiring) — 792 open — Page 5
Mirpuri Group USA - PANDORA Jewelry Division
Specialist, Motion AI
Bangkok, Thailand · On-site
Mid level
Imagine being responsible for driving operational efficiency through the development of AI solutions for time capturing and motion detection for the world’s largest jewellery brand. If you love collaborating closely with…
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Full-time
bachelor degree, postgraduate degree
Learning And Development Programmes, Transportation Services
Posted 2d ago
~40 hrs/week
Responsibilities
Lead the end-to-end development of AI-driven motion capture solutions based on MTM principles to improve operational efficiency in jewelry production. Act as a bridge between technical teams and business stakeholders to translate AI outputs into actionable production insights.
Requirements
Requires a degree in Computer Science, Data Science, or Industrial Engineering with 2-5 years of experience in AI/ML and computer vision. Proficiency in Python, SQL, and experience with motion analysis or manufacturing environments is highly preferred.
Full job description
Imagine being responsible for driving operational efficiency through the development of AI solutions for time capturing and motion detection for the world’s largest jewellery brand. If you love collaborating closely with cross-functional teams and delivering measurable business impact, then you might be our next Specialist, Motion AI at Pandora Crafting & Supply.
We love that you will…
AI Solution Development (Motion Capture & MTM):
Lead the end-to-end development of an AI-driven motion capture solution based on Methods-Time Measurement (MTM) principles
Design and implement computer vision models to track and analyze hand and body movements from production videos
Develop algorithms to calculate Actual Time and derive Standard Time using motion-based data
Build and optimize machine learning models to classify motion patterns and detect inefficiencies
Develop and maintain a standardized Pandora Motion Library Code, translating motion patterns into reusable MTM-based codes for analysis, benchmarking, and scalability
Ensure the solution is scalable and adaptable to both existing products and new product designs with increasing complexity
Data Management & Processing
Transform unstructured data (video, images, manual time study) into structured datasets for analysis
Develop feature engineering pipelines to convert motion data (e.g., coordinates, velocity, trajectory) into model-ready inputs
Ensure data quality, consistency, and governance across multiple systems
Continuously monitor data drift and model input quality to maintain performance across new products and increasing complexity
Vendor & Co-Development Management
Co-develop AI solutions with external vendors/partners, including defining requirements and reviewing deliverables
Act as the main technical counterpart to outsourced teams to ensure solution quality and scalability
Ensure knowledge transfer and long-term maintainability of the developed system
Monitor vendor performance to ensure timelines and expected outcomes are achieved
Cross-Functional Collaboration:
Build and maintain strong relationships with key non-technical standard time stakeholders (e.g. Plant level PEx, Production, PD, etc.) to understand business needs
Translate complex AI outputs and facilitate effective communication channels across teams to ensure timely and accurate information flow, enabling informed decision-making
Drive alignment between technical teams and business stakeholders to ensure successful adoption
Influence and guide cross-functional discussions to align on standard time processes, challenge assumptions, and promote best practices.
Process Improvement & Business Impact
Analyze movement patterns to identify best practices and improve operational efficiency
Identify opportunities to reduce cycle time and minimize rework
Deliver data-driven recommendations to enhance production performance
Ensure applicability of insights across diverse product types and future design iterations
Performance Measurement & Governance
Define KPIs and success metrics (e.g., efficiency improvement, time reduction, rework reduction)
Track and evaluate the performance and impact of the AI solution
Ensure compliance with data governance and company standards
Business–Technical Bridge
Lead business requirement analysis by translating complex business pain points into actionable data and AI strategies, driving alignment between business objectives and technical solutions.
Influence stakeholder communication by clarifying IT and Data Science concepts for business teams, guiding informed decision-making, and challenging assumptions when needed.
Evaluate and translate AI/DS use cases, assessing feasibility, impact, and applicability across business contexts to support strategic initiatives.
Mentor and advise junior staff on bridging business and technical requirements, fostering knowledge sharing and professional growth.
Technology Utilization:
Proactively monitor emerging technologies and AI tools in time management to identify opportunities for operational improvement.
Assess, recommend, and lead the adoption of technology and AI-powered solutions that enhance accuracy, streamline processes, and drive measurable business outcomes.
Direct initiatives to integrate AI and digital tools into standard practices, improving forecasting, data reliability, and operational efficiency across teams.
Collaborate with IT and data teams to ensure system compatibility, oversee implementation success, and monitor ongoing performance of technology solutions.
Influence cross-functional teams by sharing insights, best practices, and strategic recommendations for technology adoption, promoting continuous improvement and innovation.
AI Adoption & Implementation
Support change management by facilitating the integration of AI solutions into existing business processes and workflows. Lead proof-of-concept (PoC) initiatives by executing AI and Data Science prototypes, demonstrating tangible business value, and informing strategic decisions.
Design comprehensive test scenarios and oversee user acceptance testing (UAT), gathering actionable feedback to refine AI solutions for business adoption.
Champion change management efforts, driving the integration of AI solutions into existing business workflows while ensuring alignment, compliance, and operational efficiency.
Provide guidance and mentorship to team members on AI adoption, testing methodologies, and best practices, fostering a culture of innovation and continuous learning.
Training and Support:
Provide training and guidance to team members on time tracking systems and data entry procedures.
Address inquiries and guide to ensure consistent and accurate data input.
Supports Senior Manager, Standard time for an ad hoc standard time and relevant activities
We love that you are…
Bachelor’s or Master’s degree in Computer Science, Data Science, Industrial Engineering, or a related field.
Minimum of 2-5 years’ experience in AI/ML, computer vision, data science, or advanced analytics, preferably within manufacturing or industrial environments.
Proven experience in AI solution development, including motion capture, computer vision, and machine learning model deployment
Strong expertise in computer vision techniques (e.g., pose estimation, object tracking, video analytics) and frameworks such as OpenCV, TensorFlow, or PyTorch.
Solid experience in time study methodologies (e.g., MTM, motion analysis, industrial engineering concepts) is highly preferred
Hands-on experience in data engineering and feature engineering, transforming unstructured data (video/images) into structured, model-ready datasets
Strong proficiency in Python, VSCode SQL, and data processing pipelines; experience with cloud platforms i.e. Azure is an advantage
Demonstrated experience in building scalable AI/ML solutions and monitoring model performance (e.g., data drift, model accuracy)
Experience working with external vendors or offshore development teams, including requirement definition, delivery validation, and performance management
Strong ability to bridge business and technical teams, translating complex AI concepts into actionable insights for non-technical stakeholders
Experience in process improvement and operational analytics, delivering measurable business impact (e.g., efficiency gains, cycle time reduction)
Ability to work effectively in a fast-paced environment, managing multiple priorities under tight deadlines with a solution-oriented mindset
Strong sense of accountability, with the ability to work independently and manage stakeholders effectively
Good command of Thai and English
Welcome to our Crafting & Supply
The magic happens at our crafting facilities, where we combine centuries-old crafting traditions and high-quality materials with modern production techniques. You will be warmly greeted with over 13,000 craftspeople who are excellent at crafting and supplying the world’s largest jewellery brand with our craftsmanship. You will be part of a team of Standard Time & Industrialization Data Governance and report to the Senior Manager, Standard Time & Industrialization Data Governance.
Join a team that is as diverse and inclusive as our jewellery. We believe and value creative thinking and ensure that there’s equitable opportunities for all.
Foster your growth and craft opportunities through our learning and development programmes.
At Pandora, no effort or contribution goes unnoticed. We offer a wide range of opportunities and benefits to ensure that our employees feel valued, supported, and cared for.
Transportation services are also available to drop you at the closet BTS station and other community areas.
About Pandora Crafting & Supply Pandora started crafting its jewellery in Thailand in 1989, where our founders fell in love with the delicate craftsmanship of the Thai people. To date, there are two crafting facilities in Thailand, Bangkok, and Lamphun, and we employ more than 13,000 skilled craftspeople. By the end of 2024, there are 113 million pieces sold globally, all of which were hand-finished here in Thailand by our skilled craftspeople using high-quality raw materials and sustainable methods.
About Pandora Group Pandora is the world’s largest jewellery brand. Designed in Denmark and crafted in Thailand, Pandora jewellery provides endless opportunities for personalisation, allowing people to express their passions and show who they are. The company’s products are made from high-quality materials and sold in more than 100 countries through 6,785 points of sale, including 2,788 concept stores. Pandora is committed to leadership in sustainability and is sourcing lab-grown stones and recycled silver and gold for all its jewellery. Headquartered in Copenhagen, Denmark, Pandora employs 37,000 people worldwide, is listed on the Nasdaq Copenhagen stock exchange, and generated sales of DKK 31.7 billion (EUR 4.25 billion) in 2024.
Mirpuri Group USA
Today, Mirpuri Group USA owns and operates six PANDORA concept stores throughout Florida, as well as one multi-brand store, Dynasty Gallery & Gifts. With more than 200 employees, Girish & Harry continue to work toward growing Mirpuri Group USA in partnership with PANDORA.
No matter what the business model was – wholesale or retail – customer relationships have always been and remains today top of mind in each of the PANDORA stores. Transcending the buying/selling relationship is at the core of every guest interaction at Mirpuri Group USA.
PANDORA Jewelry
PANDORA designs, manufactures and markets hand-finished and contemporary jewellery made from high-quality materials at affordable prices. PANDORA jewellery is sold in more than 100 countries on six continents through approximately 8,900 points of sale, including more than 1,900 concept stores.
Founded in 1982 and headquartered in Copenhagen, Denmark, PANDORA employs more than 17,800 people worldwide of whole approximately 12,000 are located in Gemopolis, Thailand, where the company manufactures its jewellery. PANDORA is publicly listed on the NASDAQ Copenhagen stock exchange in Denmark. In 2015, PANDORA’s total revenue was DDK 16.7 billion (approximately EUR 2.2 billion). For more information, please visit www.pandoragroup.com.
How many Engineering jobs are open in Bangkok, Thailand right now?
There are currently 792 open engineering positions in Bangkok, Thailand listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Bangkok, Thailand?
Companies currently hiring include Mirpuri Group USA - PANDORA Jewelry Division, JLL, CP AXTRA PUBLIC COMPANY LIMITED, Transport AI, Agoda, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Bangkok, Thailand?
Yes — 193 of the 792 open engineering positions offer remote or hybrid work (48 remote, 145 hybrid).
How do I apply for Engineering jobs in Bangkok, Thailand?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.