Job Description

Job Purpose

Develops and fine-tunes Generative AI models for applications such as text generation, summarization, image synthesis, and multimodal learning.

Key Responsibilities

Develop and fine-tune LLMs, diffusion models, and transformer-based architectures.

Integrate GenAI models into AI applications and workflows.

Experiment with prompt tuning, transfer learning, and zero-shot inference.

Evaluate model quality, bias, and performance using standard benchmarks.

Collaborate with product and design teams to build innovative user experiences.

Minimum Qualifications

Education: Bachelor of Computer Science or AI, Master's in AI is a plus.

Experience: 2 years

Key Competency Requirements

Technical Skills:

Proficiency in Hugging Face Transformers, LangChain, or OpenAI APIs. Understanding of model architectures like GPT, BERT, or Stable Diffusion.

Creative & Applied AI Skills:

Strong grasp of prompt engineering and generative pipelines. Ability to build creative GenAI use cases that deliver value.

Soft Skills:

Curiosity and willingness to experiment. Strong collaboration and rapid prototyping mindset.
Job Type: Full-time

Application Question(s):

Which generative AI models have you worked on (e.g., GPT, BERT, Stable Diffusion)? What tasks did you use them for? What experience do you have with prompt engineering or building generative pipelines? What is your current notice period or earliest joining date? Current location, nationality, and current job title/role?
Education:

Bachelor's (Preferred)
Experience:

Gen AI Engineer: 2 years (Preferred)
Language:

Arabic and English (Preferred)
Location:

* Dubai (Preferred)