Senior AI Engineer — Generative AI, LLMs & MLOps (UAE)

ConnexR Solutions Pvt Ltd

United Arab Emirates

On-site

AED 391,000 - 670,000

Full time

13 days ago
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Job summary

ConnexR Solutions Pvt Ltd in the United Arab Emirates seeks an experienced AI/ML engineer to design, develop, test, and deploy advanced AI/ML models for enterprise and airline applications. You will build predictive systems, NLP solutions, and Generative AI applications.

You will develop and integrate LLM apps using OpenAI and Azure OpenAI, implement RAG architectures, and ensure model safety and regulatory compliance while collaborating with data engineers to scale AI pipelines in enterprise

Qualifications

  • 6+ years in AI/ML engineering and deployment.
  • Experience with LLMs and RAG architectures.
  • Python, TensorFlow/PyTorch, and cloud AI platforms.
  • MLOps frameworks and CI/CD pipelines.
  • Experience integrating AI solutions with enterprise systems and APIs.

Responsibilities

  • Design, develop, test, and deploy AI/ML models for enterprise and airline applications.
  • Develop and integrate LLM applications using platforms such as OpenAI and Azure OpenAI.
  • Implement RAG architectures and advanced prompt engineering strategies.
  • Monitor AI systems for hallucinations, bias, and regulatory risks.
  • Collaborate with data engineers to build scalable AI pipelines.
  • Deploy AI applications in production with MLOps best practices.

Skills

ML model development
NLP
Generative AI
Python
Cloud platforms
CI/CD
Analytical abilities
Communication
Collaboration
Problem-solving

Tools

OpenAI
Azure OpenAI
RAG architectures
TensorFlow
PyTorch
CI/CD tools

Job description

ConnexR Solutions Pvt Ltd in the United Arab Emirates seeks an experienced AI/ML engineer to design, develop, test, and deploy advanced AI/ML models for enterprise and airline applications. You will build predictive systems, NLP solutions, and Generative AI applications.

You will develop and integrate LLM apps using OpenAI and Azure OpenAI, implement RAG architectures, and ensure model safety and regulatory compliance while collaborating with data engineers to scale AI pipelines in enterprise

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