Research Associate AI-Data Science

University of Doha for Science and Technology UDST

Key Responsibilities:

1. Development of an Inventory Optimization Module

• Conduct research on safety stock management and reinforcement learning (RL) approaches.

• Prototype RL-driven inventory optimization algorithms.

• Integrate inventory optimization models with demand forecasting systems.

2. Recommender System Development

• Develop context-aware recommender systems using knowledge graphs and session encoding techniques.

• Prototype and validate recommender algorithms for personalized recommendations.
• Integrate recommender models with inventory and forecasting systems.

3. Microservices, MLOps & Deployment

• Deploy RL optimizers and recommender systems as microservices.
• Build CI/CD pipelines for scalable and reliable deployment.
• Implement monitoring dashboards, drift detection, and performance alerts.

4. Documentation, Training & Academic Output

• Prepare technical documentation, API specifications, and system user guides.
• Contribute to case studies, final reports, and academic publications/patents.

Qualifications:

• Educational Background:

• • Ph.D. in Computer Science, Operations Research, AI, or a related field, OR
  • Master s degree in Computer Science/Engineering with at least 3 years of experience in optimization, recommender systems, or reinforcement learning.

• Technical Expertise:

• • Strong knowledge of reinforcement learning, optimization algorithms, and recommender systems.
  • Experience with simulation and A/B testing methodologies.
  • Familiarity with knowledge graphs, session-based recommendation, and personalization techniques.
  • Proficiency in deploying ML models as microservices and applying MLOps best practices

• Programming Skills:

• • Strong programming skills in languages such as Python or R.
  • Familiarity with machine learning libraries and frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) is a must.

• Analytical Skills/ Communication Skills:

• • Ability to design, prototype, and validate optimization and recommendation algorithms.
  • Strong documentation and presentation skills for both technical and non-technical stakeholders.

• Team Collaboration: Proven experience working in collaborative team environments and managing multiple tasks effectively.