AI/Machine Learning Engineer (Motion AI) at Pandora

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Machine Learning, Python, SQL, TensorFlow, PyTorch, OpenCV, Azure, Pose Estimation, Object Tracking, Feature Engineering, Methods-Time Measurement, Data Pipelines, Process Improvement, Vendor Management, Stakeholder Management

Industry

Retail

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.

Responsibilities

Lead the end-to-end development of AI-driven motion capture solutions based on MTM principles to optimize production efficiency. Bridge the gap between technical AI outputs and business stakeholders to drive operational improvements and standard time processes.