AI Personalization Specialist (Travel Experience)
TravelSphere Tech- Sayad, Afghanistan
- Remote
- Negotiable
- Posted: 2 months ago
- Vacancy: 1
About the Company:
TravelSphere Tech is a leading travel technology company in Canada specializing in booking engines, AI-powered personalization platforms, and hospitality automation systems. Under CEO Olivia Bennett, the company is shaping the future of smart, predictive, and automated travel experiences.
Location: Ontario, Canada
Employment Type: Full-time
Experience Level: Associate to Mid-level (2–5 years)
Role Overview:
The AI Personalization Specialist will work closely with data science and product teams to build intelligent recommendation systems that enhance user journeys across web and mobile platforms. You will develop models that personalize destinations, accommodations, offers, and itineraries for global travelers.
Key Responsibilities:
• Build and optimize AI-driven recommendation engines for travel personalization.
• Analyze user behavior, travel patterns, and platform interactions.
• Train machine learning models using structured and unstructured travel data.
• Collaborate with product teams to embed personalization across key features.
• Run A/B experiments to evaluate model performance and user engagement.
• Develop data pipelines for model training, deployment, and monitoring.
• Document model architecture, design decisions, and performance metrics.
• Work with engineering teams to deploy models into production environments.
Qualifications:
• Bachelor’s or Master’s degree in AI, Data Science, or Computer Science.
• 2–5 years of experience in machine learning, personalization systems, or recommendation algorithms.
• Experience with Python, TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of travel behavior modeling or user-segmentation techniques.
• Ability to work independently in a remote environment.
What We Offer:
• Work with cutting-edge AI travel-personalization technologies.
• Strong opportunities for career growth in AI and travel data engineering.
• Remote-friendly culture with flexible working hours.
• Access to cloud infrastructure and ML experimentation tools.