Your new company

Join a leading retail company that is dedicated to providing exceptional customer experiences and innovative solutions. This organization is committed to leveraging cutting-edge technologies to drive business growth and enhance operational efficiency.

Your new role

• Architecting and implementing advanced deep learning models for multimodal You will design and productionize ML pipelines from feature generation through training, validation, model registry, deployment, monitoring, and retraining.
• You will train and serve models (not necessarily LLMs) for one or more domains such as recommendations, search/ranking, time-series forecasting, or operations research.
• You will define sound experimental designs (A/B and offline/online alignment), choose appropriate metrics (e.g., NDCG, CTR, MAPE, cost), and guard against leakage.

What you'll need to succeed

• Master's or PhD in Computer Science, Machine Learning, or related field
• 7+ years of experience in machine learning engineering, with a focus on recommendation systems or personalization
• You have strong applied ML foundations, including data splitting strategies, regularization, calibration, and interpretability.
• You have practical experience in at least one of the following: recommendation systems, search/ranking, forecasting, or operations research.
• You understand deployment of ML models and pipelines in production environments and are comfortable with CI/CD for models.

What you'll get in return

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• Access to cutting-edge technologies and projects

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

This posting is not for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.