Working under the supervision of the DATA Team, in collaboration with the different OPE teams the AI Ops Intern will:

• Assess and implement Generative AI/ML techniques to improve infrastructure and application monitoring, focusing on enhancing efficiency and automating routine tasks.
• Collaborate with cross-functional teams to design and implement solutions that address the following key areas:
  • Implement data extraction pipelines to fetch and analyze information.
  • Infrastructure monitoring and performance optimization
  • Application performance monitoring and troubleshooting
  • Automated incident detection
  • Predictive maintenance and resource optimization.

 Focus Area:

• Anomaly detection and predictive analytics for infrastructure and application monitoring
• Development of custom dashboards and visualizations for infrastructure and application monitoring
• Exploration of emerging AIOps technologies and techniques, such as LLMs for IT support and automated root cause analysis.

• Be enrolled in a, or have graduated from, a master’s degree programme or PhD in an accredited academic institution within the past one year on the date of submission of their application, in Computer Science, Engineering, Data Science or related fields with specialization in machine learning and deep learning.
• Practical machine learning experience
• Professional fluency in English is required.
• A good command of any other INTERPOL official language (Arabic, French or Spanish) would be an asset.

Technical skills

• Understanding of machine learning, deep learning or data mining concepts
• Strong proficiency in Python
• Knowledge of visualization tools
• Knowledge of data lake, ETL and statistics
• Ability to create, test and validate models
• Ability to create api end points to serve the models.

Abilities required

• Conscientious and self-discipline
• Good oral and written communication
• Motivated
• Ability to work in an international environment.