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Artificial Intelligence Engineer

Eagle Hills UAE
Abu Dhabi, UAE
Full-time
Entry
Onsite
Discovered 1 weeks ago
PythonMachine learningGenerative AILLM integrationPrompt engineeringRetrieval-augmented generation (RAG)
Free

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PythonMachine learningGenerative AI
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About the Role

Design, build, and deploy intelligent systems and AI-powered solutions supporting real estate, finance, sales, and operations.

Work with data teams, business stakeholders, and enterprise IT to deliver scalable, secure, production-ready AI applications.

Key Responsibilities

  • Design, develop, and deploy machine learning and generative AI models and pipelines across departments.
  • Build LLM-based applications, chatbots, and document and data processing systems.
  • Integrate AI models with ERP, CRM, and data warehouse systems.
  • Develop data pipelines for model training, evaluation, and monitoring.
  • Ensure compliance with data privacy, security, and governance requirements.
  • Evaluate and validate models for accuracy, fairness, and reliability.
  • Document technical designs, model architectures, and deployment processes.
  • Test solutions in development and UAT environments before production rollout.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • At least 3 years of experience in AI/ML engineering, data science, or software engineering focused on applied AI.
  • Strong Python programming skills and familiarity with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Experience with LLM APIs, prompt engineering, and retrieval-augmented generation.
  • Experience with Azure, AWS, or GCP and MLOps tools for deployment and monitoring.
  • Understanding of data structures, algorithms, software engineering, governance, security, and compliance.
  • Strong analytical, problem-solving, and communication skills.

About Us

The employer is a real estate developer focused on innovation, sustainability, quality, and creating communities and destinations across international markets.

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