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Artificial Intelligence Engineer
Radiansys Inc.
Abu Dhabi, UAE
fulltime
Mid-Senior
Yesterday
engineeringdesignproject managementmaintenancequality controltechnical
Free
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About the Role
Position: AI Engineer Location: Abu Dhabi (onsite) Experience: 6+ years 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.
Key Skills for This Role
engineeringdesignproject managementmaintenancequality controltechnical
Full Job Posting
Location : Abu Dhabi (onsite)
- Experience: 6+ years
- 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
- Strong 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.
- 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.
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