to drive digital transformation in our jewellery business. The ideal candidate will use AI and machine learning to enhance product design, improve customer personalization, forecast demand, and optimize operations across the jewellery value chain -- from design to sales.
Key Responsibilities
Develop AI-driven solutions
to support jewellery design, material selection, and trend forecasting.
Use
computer vision
and
image recognition
to classify gemstones, identify jewelry styles, and ensure product quality and authenticity.
Create
personalized recommendation systems
for customers (e.g., suggesting jewellery based on preferences, browsing behavior, or facial features).
Analyze sales data and market trends to
predict demand
and optimize inventory and pricing strategies.
Collaborate with designers to integrate
to enhance the customer experience (online and in-store).
Work closely with marketing and e-commerce teams to improve targeting, segmentation, and customer engagement through predictive analytics.
Ensure ethical and secure use of customer data in compliance with data protection regulations.
Required Skills and Qualifications
Bachelor's or Master's degree in
Computer Science
,
Artificial Intelligence
,
Data Science
, or related field.
Proven experience developing
machine learning
or
computer vision
models.
Experience with
data analytics
,
predictive modeling
, and
recommendation systems
.
Understanding of
image recognition
,
3D modeling
, or
Generative AI for design
(e.g., DALLE, Midjourney, or similar tools).
Familiarity with
e-commerce platforms
,
CRM systems
, and
retail analytics
.
Excellent communication skills and ability to collaborate with designers, marketers, and business teams.
Preferred Qualifications
Experience in
luxury retail
or
fashion/jewellery industry
.
Knowledge of
AR/VR
or
AI-powered virtual try-on technologies
.
Experience with
supply chain optimization
or
predictive inventory systems
.
Creative mindset with a passion for design and technology.
Job Types: Full-time, Permanent
Benefits:
Health insurance
Leave encashment
Work Location: In person
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