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Ai engineer (onsite doha, qatar)

AtliQ Technologies Pvt. Ltd.

Doha, QatarQAR 7,350-18,900/moToday
QatarIT & TechnologyFull Time

Skills Required

AzureGitErpCommunication

Job Description

We need an AI Engineer with depth and breadth across the AI space and a strong command of Azure. You’ll bring hands-on Gen AI expertise but know when NLP, computer vision, classical ML, or data pipelines are the better fit.You’ll build practical, scalable AI solutions on Azure across the full lifecycle—data prep to deployment. We want proactive people who take ownership and drive initiatives beyond day-to-day coding.What You’ll Work OnBuild and integrate AI models using Azure ML, Cognitive Services, and Azure Open AI Service.Drive MLOps using Azure ML pipelines, Azure Dev Ops, and CI/CD workflows.Handle data preparation (cleaning, preprocessing, validation) with Azure Data Factory and Databricks.Write clean, reusable code following Azure cloud-native best practices.Build APIs and prototypes; deploy via AKS or Azure Functions.Collaborate with data engineers, developers, and product owners.Drive experiments, contribute ideas, and shape solution approaches.Stay current with Gen AI and broader AI developments; apply Azure-native capabilities.What We ValueSolid AI/ML foundation with hands-on Gen AI experience (development, integration, evaluation).Familiarity with NLP, computer vision, recommendation systems, and classical ML.Experience with Py Torch, Tensor Flow, or Scikit-learn.Exposure to agentic AI frameworks (Lang Chain, Llama Index, Crew AI, Agno).Proficiency with Azure Databricks, Data Factory, Synapse Analytics, and Data Lake Storage.Ability to prototype quickly and build APIs using Azure Functions or App Service.Must actively use AI-assisted development tools (Git Hub Copilot, Cursor, Claude Code, etc.).Strong problem-solving and communication skills.Preferred:Real-world AI project experience in an Azure cloud environment.Curiosity to explore new tools, frameworks, and problem domains.Experience with financial projects or large enterprise environments.