Machine Learning Engineer - Chalhoub Group

INSPIRE EXHILARATE DELIGHT

For over six decades Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. The Group in its endeavour to excel as a hybrid retailer has reinforced its distribution and marketing services with a portfolio of eight owned brands and over 300 international brands in the luxury beauty fashion and art de vivre categories. More recently the Group expanded its expertise into new categories of luxury watches jewellery and eyewear.

Every step at Chalhoub Group is taken with the customer at heart. Be it constantly reinventing itself or focusing on innovation to provide luxury experiences at over 750 experiential retail stores online and through mobile apps each touch point leads to delighting the customer.

Today Chalhoub Group stands for 14000 skilled and talented professionals across seven countries whose cohesive efforts have resulted in the Group being ranked third in the Middle East and first in Saudi Arabia as a Great Place to Work.

What youll be doing

As a Machine Learning Engineer you will be instrumental in designing developing and deploying machine learning models that support our stylists and enhance our customers experiences. You will work closely with our product development teams to integrate AI capabilities into our platforms enabling more personalized fashion recommendations improved sizing predictions and innovative style simulations.

• Collaborate with product teams to define and refine machine learning projects that align with business goals.
• Develop and maintain scalable and robust machine learning models to drive user engagement and satisfaction.
• Utilize a variety of datasets to train and validate models ensuring accuracy and efficiency in realworld applications.
• Implement advanced machine learning techniques including supervised and unsupervised learning deep learning and anomaly detection.
• Work with the engineering team to deploy models into production ensuring they operate at scale and with high reliability.
• Continuously evaluate and iterate on models based on performance metrics and feedback from users and stakeholders.
• Stay updated with the latest trends and advancements in AI and machine learning tobring innovation and improvements to our solutions.
• Work in short sprints on a POC / MVP basis and iterate models over time.

What youll need to succeed

• Bachelors or Masters degree in Computer Science Data Science or a related technical field.
• Proven experience in machine learning data science or a similar role.
• Strong proficiency in programming languages such as Python and frameworks/libraries like TensorFlow PyTorch ScikitLearn.
• Experience with cloud platforms (AWS Google Cloud Azure) and understanding of deploying applications at scale.
• Strong analytical skills with the ability to collect organize analyze and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent problemsolving skills and the ability to work in a fastpaced startup environment.
• Effective communication skills both written and verbal to collaborate with crossfunctional teams.

What we can offer you

With us you will turn your aspirations into reality. We will help shape your journey through enriching experiences learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary every day.

We recognise the value that you bring and we strive to provide a competitive benefits package which includes health care child education contribution remote and flexible working policies as well as exclusive employee discounts.

We Invite All Applicants to Apply

It Takes Diversity Of Thought Culture Background Differing Abilities and Perspectives to truly Inspire Exhilarate and Delight our customers. At Chalhoub Group we are committed to inclusion and diversity.

We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender age race religion national origin or disability status.