Job details
Job Description:
Leads the AI project by setting the vision, managing the team, and aligning AI development with business goals. Responsible for stakeholder communication and ensuring the delivery of a user-centered AI product.
Skills
Location:Qatar/Kuwait
Languages: English, Arabic is a plus
Technical Qualifications:
Full Stack Development:
Comprehensive experience in both front-end and back-end development with a focus on integrating AI functionalities.
Can hold full technical accountability on the full cycle of developing an AI solution (data engineering, data science, ML/Ops, LLM fine tuning, etc.)
Cloud Architecture:
Expertise in designing and implementing cloud architectures using platforms like AWS, Azure, or GCP.
Knowledge of cloud services relevant to AI, primary Azure AI services and others such as AWS SageMaker or Google AI Platform.
Experience in Azure Data Services such as ADF, Azure Synapse/Fabric, Azure Data Sharing, Azure AI studio, etc.
AI Integration:
Ability to architect scalable AI solutions across the full technology stack.
Experience in AI models training, testing, and optimization
Experience in data engineering and data pipelines
Experience in optimizing and fine tuning LLMs
Experience in building RAGs with LLMs
Experience in MLOps
Leadership:
Proven experience in leading technical teams and managing AI projects from conception to deployment.
Programming Languages:
Full Stack:JavaScript/TypeScript, Python, Java, or similar
Cloud Scripting:Python, Bash
Infrastructure as Code:Terraform, CloudFormation
Additional Requirements:
Bachelor's or master's degree in computer science, Engineering, or a related field.
Relevant certifications in data engineering, data science, and artificial intelligence
Relevant certifications in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Solutions Architect).
Strong leadership and communication skills.#J-18808-Ljbffr
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Hiring company
Confidential
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