AI Solutions Engineer

Gulf University; Bahrain; Sur place; BHD 22 560 - 30 080; Plein temps

Résumé du poste

Gulf University in Bahrain is seeking a highly skilled AI Solutions Engineer to lead AI initiatives from design to deployment. The ideal candidate will have 4-5 years of experience in AI development, strong knowledge in machine learning frameworks, and API integration. Responsibilities include building generative AI solutions and optimizing workflows. A Bachelor's degree in a relevant field is required, and the role involves mentoring junior developers. This is a full-time on-site position with a focus on high-quality code delivery.

Qualifications

• 4-5 years of AI development experience with server management and Git version control.
• Database design and query optimization skills are essential.
• Leadership and junior developer mentoring experience is required.

Responsabilités

• Lead university AI initiatives from design through deployment.
• Build and deploy generative AI and LLM pipelines.
• Optimize workflows and automate university processes.

Connaissances

AI/ML Development

Generative AI & LLM Pipelines

Cloud AI Platforms

Automation & Workflow Optimization

Git Version Control

API Integration

Azure DevOps

Project & Deadline Management

Complex Database Queries

Dashboards & Reports

Communication & Collaboration

Leadership & Mentorship

Formation

Bachelor's degree in computer science, engineering, AI, data science, or related field

Master's or bachelor's degree in computer science/engineering

Outils

Azure DevOps

RESTful API

SOAP API

Description du poste

[phone] [e-mail]

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).