Guepard
Guepard
Tunisie

3 AI Engineer PFE

Machine Learning / Deep LearningDatabase EngineeringPerformance Engineering

Publié il y a 6 mois

Stage
⏱️4-6 mois
💼Hybride
💰Rémunéré
📅Expiré il y a 6 mois
Reste lisible (ATS friendly).

Description du poste

Mission

  • Design and implement Guepard's next-generation Performance Optimization Agent, focused on building Performance Profiles for databases.
  • Collect performance metrics (queries, I/O, CPU, memory) across database branches (PostgreSQL, ClickHouse, MySQL, MongoDB) to feed profiling and analysis.

Key Responsibilities

  • Build performance profiles that classify workload types (OLTP, OLAP, mixed) and map them to optimal resource configurations.
  • Develop heuristics or ML models that recommend tuning actions (indexing, partitioning, memory settings) based on the profile.
  • Integrate profile generation and tuning recommendations into the agent workflow: branch → profile analysis → apply tuning.

Collaboration, Integration & Documentation

  • Collaborate with engineering teams to embed performance profiles into Guepard’s branching and time-travel infrastructure.
  • Document profile definitions, tuning strategies, and profiling results for visibility and audit.
  • Ensure recommendations and tuning actions can be traced and audited within the agent workflow.

How to apply

  • Apply via the online link: https://lnkd.in/d8wuxwT3
  • Or send your application by email to jobs@guepard.run (include the subject line specified below).