Valura.ai

AI Intern

Valura.ai

Posted 1 day ago

Employment Type

Internship

Location

Dubai

Requirements

Machine Learning, Deep Learning, NLP, Python, Teamwork, Communication Skills, CS Degree

Required Skills

Python Machine Learning Deep Learning Natural Language Processing Agentic AI Model Training Model Evaluation PyTorch TensorFlow Data Science

Job Description

Responsibilities

  • Work closely with senior engineers to learn and implement cutting-edge AI technologies.
  • Contribute to the design, development, training, and evaluation of ML/NLP models.
  • Explore and prototype agentic AI approaches to improve usability and performance.
  • Collaborate with cross-functional team members to define project requirements and priorities.
  • Maintain clear documentation, participate in code reviews, and incorporate feedback.

Requirements

  • Strong knowledge: Machine Learning, Deep Learning, NLP
  • Programming: Python
  • Model lifecycle: Model Training, Model Evaluation
  • Team skills: Teamwork, Communication Skills
  • Education: CS Degree or related

Preferred Qualifications

  • Experience with PyTorch or TensorFlow
  • Familiarity with agentic AI frameworks and tooling
  • Prior internship or project experience in applied ML/NLP
  • Exposure to data preprocessing, experiment tracking, and model deployment

Benefits

  • Hands-on mentorship from experienced AI engineers
  • Practical experience working on market-oriented agentic AI projects
  • Hybrid working model based in the UAE (Dubai)
  • Opportunity to contribute to product-ready AI solutions and learn industry best practices

About the Company

Valura.ai is an AI-driven company focused on building advanced, market-ready agentic AI solutions. The team blends financial product thinking with deep technical expertise to deliver easy-to-use yet powerful AI tools. This internship offers direct mentorship, practical project work, and exposure to end-to-end AI development within a collaborative, fast-paced environment in the UAE (hybrid).

How to Apply

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