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Discovered MENA

Staff Machine Learning Engineer, Abu Dhabi

Discovered MENA
Ireland · Full-time · Mid-Senior

🚀 Job title: Staff Machine Learning Engineer

📍 Location: Abu Dhabi (Full relocation support available)


We’re partnering with a leading organization in artificial intelligence to hire a Staff Machine Learning Engineer who will play a key role in building and scaling cutting-edge AI solutions.


🌟 About the Role

In this position, you will design, develop, deploy, and optimize machine learning models that power advanced AI systems. You’ll work closely with cross-functional teams to turn complex business challenges into high-impact AI products.


🔧 Key Responsibilities

  • Model Development: Build, train, and deploy predictive models that enhance AI-driven solutions
  • Advanced AI Applications: Leverage state-of-the-art techniques including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
  • Cross-Functional Collaboration: Partner with stakeholders to translate business needs into scalable ML solutions
  • Model Optimization: Continuously evaluate and improve model performance in real-world environments
  • Data Engineering: Design and maintain robust data pipelines to ensure high-quality inputs for ML systems


✅ Requirements

  • 8+ years of experience in AI, Machine Learning, Reinforcement Learning, or Data Science
  • Master’s or Ph.D. in Computer Science, AI, Data Science, Statistics, or a related field
  • Strong expertise in Large Language Models and advanced fine-tuning techniques
  • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
  • Experience with Generative AI tools like LangChain, Weaviate, LangGraph, or LlamaIndex
  • Advanced programming skills in Python
  • Competitive programming or data science background (e.g., ACM/ICPC, IOI/NOI, Kaggle) is a strong plus

Key Skills

Ranked by relevance

ai machine learning artificial intelligence tensorflow ai tools pytorch
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Posted
May 14, 2026
Type
Full-time
Level
Mid-Senior
Location
Dublin

Industries

Technology Information Media

Categories

Engineering Information Technology

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