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AI Solutions Engineer

Summary

Leads AI initiatives at a Bahraini university, designing and deploying ML/LLM solutions, automating workflows, and mentoring teams using Azure DevOps and cloud AI platforms.

Non-Academic Bahrain Full Time Digital Transformation Center

Introduction

Gulf University, established in 2001 by cabinet decree, aims to be a distinguished provider of higher education that will appeal to international, Bahraini and GCC students. The IT Department manages network infrastructure, computer systems, and secure server access. The university is seeking a highly skilled AI Solutions Engineer with strong expertise in AI development, automation systems, machine learning, LLM applications to lead university AI initiatives from design through deployment.

Required Qualifications & Experience
  • Bachelor's degree in computer science, engineering, AI, data science, or related field.
  • 4-5 years of AI development experience with server management and Git version control.
  • API integration knowledge (RESTful and SOAP).
  • Azure DevOps proficiency for CI/CD pipelines.
  • High commitments in deadline management and prioritization in a fast-paced environment.
  • Database design and query optimization skills.
  • Reporting tools and dashboard experience.
  • Strong communication and cross-functional collaboration abilities.
  • Leadership and junior developer mentoring experience.
  • Strong attention to detail and a commitment to delivering high-quality code.
Preferred Qualifications
  • Master's or bachelor's degree in computer science/engineering.
  • Certifications in AI, cloud platforms, Laravel, Azure, or Git.
  • Machine learning algorithm knowledge.
  • Open-source contributions or developer community participation.
Required Skills
  • AI/ML Development: Understanding of artificial intelligence and machine learning frameworks.
  • Generative AI & LLM Pipelines: Building and deploying solutions for text generation, automation, intelligent search, RAG systems.
  • Cloud AI Platforms: Using Azure AI, Vertex AI, AWS SageMaker for model training and deployment.
  • Automation & Workflow Optimization: Automating university processes and system integration.
  • Git Version Control: Codebase management, collaboration, version tracking.
  • API Integration: Third-party API and service integration expertise.
  • Azure DevOps: Project management and deployment pipeline experience.
  • Project & Deadline Management: Strong ability to manage project timelines effectively, prioritize tasks, and deliver high-quality code.
  • Complex Database Queries: Query development and optimization proficiency.
  • Dashboards & Reports: Generating insightful reports and stakeholder dashboards.
  • Communication & Collaboration: Cross-functional team effectiveness with developers, designers, stakeholders.
  • Leadership & Mentorship: Developer guidance on best practices and emerging technologies.
Required Documents
  • Application Form.
  • Copies of academic qualifications.
  • Portfolio of relevant projects (if applicable).

See also

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