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.