AI/ML Engineer

Dalil Information Technology | UAE

Abu Dhabi

On-site

AED 180,000 - 300,000

Full time

39 hours ago
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Job summary

Dalil Information Technology | UAE is seeking an experienced AI/ML Engineer to design, deploy, and scale AI-powered solutions. You will focus on Generative AI, LLMs, and enterprise AI applications, with emphasis on on-premises environments and Arabic language AI capabilities.

The role requires building secure, production-grade systems with MLOps practices, Python-based backend development, and end-to-end model deployment, monitoring, and evaluation.

Qualifications

  • 4+ years in developing and deploying production AI/ML and Generative AI systems.
  • Experience with on-premises AI deployment and secure networks.
  • Experience with Arabic language AI, OCR, and document processing.
  • Strong Python, REST API development and data quality validation.
  • Familiarity with MLOps, Docker, and CI/CD pipelines.

Responsibilities

  • On-premises AI implementation with DeepSeek and Qwen on local GPU infrastructure.
  • Develop AI capabilities using LLMs, RAG pipelines, NLP and evaluation.
  • Arabic document processing including OCR and information extraction.
  • Build backend pipelines and data quality validation.
  • Set up monitoring with Grafana, CloudWatch and Power BI.

Skills

Python
NLP
LLMs
Prompt engineering
MLOps

Education

Bachelor's degree in Computer Science or related discipline

Tools

Docker
Terraform
CI/CD
Grafana
Power BI
LangChain
LangSmith
LangGraph
PyTorch
Transformers
BERT
XGBoost

Job description

Job Title:

AI/ML Engineer

Location:

Abu Dhabi - Onsite

About the Company

We are a dynamic and fast-growing AI & IT company specialising in cutting-edge technology solutions for businesses of all sizes. As we continue to expand, we are seeking a highly skilled, detail-oriented, and motivated AI/ML Engineer to join our team.

Role Summary

We are seeking an experienced AI/ML Engineer to develop and deploy scalable AI-powered solutions, with a particular focus on Generative AI, LLMs, and enterprise AI applications. The successful candidate will be responsible for building intelligent systems, implementing secure on-premises AI environments, developing RAG-based solutions, and delivering innovative AI capabilities that drive business value. Experience with Arabic language AI, MLOps, and production-grade model deployment will be highly valued.

Key Responsibilities
  • On-premises AI implementation: Hands-on experience deploying and operating DeepSeek and Qwen models on local GPU infrastructure, including model configuration, inference optimisation, API integration, and operation within secure, closed networks.
  • AI capabilities: LLMs, RAG pipelines, prompt engineering, NLP, and model evaluation using LangChain, LangSmith, and LangGraph.
  • Arabic document processing: Experience with Arabic-language AI, OCR, document summarisation, information extraction, and correspondence drafting.
  • Development: Python, REST APIs, backend automation, ETL pipelines, and data quality validation.
  • MLOps and infrastructure: Docker, Terraform, CI/CD pipelines, and model deployment and monitoring.
  • Machine learning: Hugging Face Transformers, PyTorch, BERT, and XGBoost.
  • Monitoring: Grafana, CloudWatch, and Power BI.
Preferred Experience

4+ years in developing and deploying production AI/ML and Generative AI systems.

Education

Bachelor’s degree in Computer Science or a related discipline.

Preferred certifications

AWS AI Practitioner or Microsoft Azure AI Engineer Associate.

#Hiring #AIEngineer #MachineLearning #GenerativeAI #LLM #RAG #DeepSeek #Qwen #ArtificialIntelligence #MLOps #Python #TechJobs #HiringNow #AIJobs #DataScience #Innovation #DalilTech

Data Protection & Privacy Statement

By applying for this role, you consent to the collection and processing of your personal data in accordance with the UAE Federal Decree-Law No. 45 of 2021 (PDPL). Your information will be used only for recruitment purposes, kept secure, and retained only as long as necessary. You may request access, correction, or deletion of your data at any time by contacting our HR Department.

Your data will not be shared with third parties except where required for recruitment and with appropriate safeguards

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