AI/Machine Learning Engineer (Motion AI)

About the Role

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.

Responsibilities

• Lead the end-to-end development of an AI-driven motion capture solution based on Methods-Time Measurement (MTM); 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 for analysis, benchmarking, and scalability; ensure the solution is scalable and adaptable to both existing products and new product designs.
• Transform unstructured data (video, images, manual time study) into structured datasets for analysis; develop feature engineering pipelines to convert motion data (coordinates, velocity, trajectory) into model-ready inputs; ensure data quality, consistency, and governance; continuously monitor data drift and model input quality.
• 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, scalability, knowledge transfer and long-term maintainability; monitor vendor performance to ensure timelines and expected outcomes are achieved.
• Build and maintain strong relationships with key non-technical standard time stakeholders (e.g., Plant level PEx, Production, PD) to understand business needs; translate complex AI outputs and facilitate effective communication across teams; drive alignment between technical teams and business stakeholders to ensure successful adoption and influence cross-functional discussions on standard time processes and best practices.
• 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 and ensure applicability across diverse product types and future design iterations.
• Define KPIs and success metrics (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.
• Lead business requirement analysis by translating business pain points into actionable data and AI strategies; evaluate and translate AI/DS use cases for feasibility and impact; mentor and advise junior staff on bridging business and technical requirements.
• Proactively monitor emerging technologies and AI tools in time management; assess, recommend, and lead adoption of AI-powered solutions; collaborate with IT and data teams to ensure system compatibility, oversee implementation success, and monitor ongoing performance.
• Support change management and lead PoC initiatives; design test scenarios and oversee user acceptance testing (UAT); provide training and guidance on time tracking systems and data entry procedures; support Senior Manager, Standard time for ad hoc standard time activities.

Qualifications

• 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, dat

Skills

• Experience with computer vision, machine learning model development, and motion analysis.
• Experience with feature engineering, data pipelines, model monitoring, and ensuring scalability and data governance.
• Vendor management, cross-functional communication, mentoring and knowledge transfer, and leading PoC/UAT for business adoption.