AI Solutions Engineer
Gulf University (company site, opens in a new tab)4–5 yrsOn-siteDirect career pageEst. 8–18 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, deploy, and maintain AI/ML solutions using generative AI and LLM pipelines for automation and intelligent search.
- Manage cloud AI platform workflows on Azure AI, Vertex AI, and AWS SageMaker, including model training and deployment.
- Lead project and deadline management, optimize automation workflows, integrate APIs, and mentor developers on best practices.
Minimum Requirements
- Bachelor's degree in computer science, engineering, AI, data science, or related field.
- 4-5 years of AI development experience including server management, Git version control, API integration, and cloud AI platform usage.
- Proficiency with Python, TensorFlow, PyTorch, Azure DevOps CI/CD pipelines, Docker/Kubernetes deployment.
- Experience with complex database query development and dashboard/report generation.
Ideal Candidate Profile
- Experienced AI developer with strong operational mastery of cloud AI platforms (Azure AI, Vertex AI, AWS SageMaker) and generative AI workflows.
- Proven ability to manage multiple projects and deadlines while delivering high-quality code and mentoring junior developers.
- Strong cross-functional communicator comfortable working with dev, design, and stakeholder teams in fast-paced environments.