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AI Engineer

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Onsite

AI Engineer

HTC Global Services

AI Engineer

Skills

SQL QueriesData EngineeringPythonMicroservicesDatabricksMachine LearningAIComplianceAzure

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Abu Dhabi - United Arab Emirates

Work mode:

Onsite

Published on:

18 September 2026

What they need


Exciting Opportunity Alert! 🌟 HTC Global Services is hiring AI Engineer for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).

HTC Global Services - a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.

About the Role:

We are seeking an AI Engineer (Innovation) with 6+ years of experience with dtrong programming experience in Python. Expertise in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on experience with OpenAI, Azure OpenAI, LangChain, Semantic Kernel, AutoGen, or similar Agentic AI frameworks.

Requirements:

  • Design and develop AI/ML and Generative AI solutions.
  • Build predictive models for demand forecasting, revenue optimization, dynamic pricing, ancillary revenue growth, and passenger behavior analysis.
  • Develop and deploy LLM-based applications using RAG, Vector Databases, Prompt Engineering, and Agentic AI frameworks.
  • Build intelligent recommendation and personalization engines.
  • Develop scalable AI pipelines and integrate AI models with enterprise applications and operational systems.
  • Deploy and manage AI solutions on Azure cloud platforms.
  • Collaborate with Data Engineers, Data Scientists, Product Owners, and Business Stakeholders to translate business requirements into AI solutions.
  • Ensure model performance, scalability, security, governance, and compliance standards.

Required Skills:

  • Experience building RAG architectures and Vector Databases.
  • Strong knowledge of LLMs, Prompt Engineering, Fine-tuning, and AI Evaluation frameworks.
  • Experience with Azure AI Services, Azure Databricks, Azure Machine Learning, Azure Data Factory, and Azure DevOps.
  • Experience with MLOps, CI/CD, model deployment, monitoring, and governance.
  • Knowledge of data engineering concepts, APIs, microservices, and event-driven architectures.
  • Familiarity with SQL, Spark, and large-scale data processing.

Interested candidates please do share your updated CV to [email protected] mentioning your Current CTC, expected CTC and notice period details.

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