Data Driven AI Solutions Developer

2 weeks ago

Manama, Manama, Bahrain beBeeArtificial Full time
Artificial Intelligence Engineer

This is a role that involves hands-on experience with cutting-edge AI projects, mentorship from experienced engineers, and the opportunity to shape the future of intelligent systems in enterprise environments.

The successful candidate will have recent experience in computer science, software engineering, or data science, ready to turn their passion for AI into real-world impact.

They will be responsible for developing, deploying, and maintaining AI solutions using various technologies such as Azure OpenAI, PyTorch, and Hugging Face Transformers.

Responsibilities:
  • Fine-tune LLMs and build prompt-driven solutions using Azure OpenAI.
  • Develop data preprocessing pipelines (cleaning, tokenization, normalization).
  • Contribute to Retrieval-Augmented Generation (RAG) and Document Intelligence implementations.
  • Implement Azure ML Pipelines, MLflow, and DVC for version control and tracking.
  • Monitor model performance using Azure Monitor and Application Insights.
  • Maintain AI notebooks and experiments through Azure AI Studio (Foundry).

Requirements:

To be considered for this role, you must have:

  • Recent experience in AI/ML projects.
  • Hands-on experience with AI frameworks such as PyTorch and Hugging Face Transformers.
  • Strong understanding of machine learning algorithms and data structures.
  • Experience with Azure OpenAI services.
  • Excellent communication and teamwork skills.

Benefits:

As an artificial intelligence engineer at our company, you can expect:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.
  • Recognition and rewards for outstanding performance.
Who We Are Looking For
  • Recent graduates in Computer Science, AI, ML, or Data Science.
  • Hands-on experience in AI/ML projects.
  • Fast learners with a strong desire to grow in a dynamic, supportive environment.
  • Bonus: Experience with Azure AI services or certifications like Azure AI Fundamentals.
Tools & Technologies
  • Languages: Python, SQL, JSON
  • Frameworks: PyTorch, Hugging Face Transformers
  • MLOps: Azure ML, Azure AI Studio, MLflow, DVC
  • DataOps: Azure Data Factory, Synapse, Data Lake
  • Monitoring: Azure Monitor, Application Insights
  • AI: Prompt engineering, fine-tuning, OpenAI APIs, Azure OpenAI

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