Cloud Architect Specialist for AI and Machine Learning

9 hours ago

Manama, Manama, Bahrain beBeeCloudArchitect Full time 120,000 - 250,000
Job Description:
A Cloud Architect Specialist is required to design, develop, and maintain cloud-based systems that integrate artificial intelligence (AI) and machine learning (ML).

Required Skills and Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or Engineering
  • Experience with AWS Certified Solutions Architect and AWS Development expert
  • TensorFlow or equivalent AI/ML certification
  • Proficiency in Arabic and English
  • 8 years of experience in AI/ML development
  • Deep learning, reinforcement learning, and large language models (LLMs)
  • Computer Vision (OpenCV, AWS Rekognition)
  • Natural Language Processing (Hugging Face Transformers, spaCy)
  • Programming & Frameworks
    • Python as primary language
    • TensorFlow, PyTorch, Scikit-learn, Hugging Face
  • Cloud Platforms
    • AWS (IAM, VPC, Lambda, CloudWatch, S3, SageMaker, ECS/EKS)
    • Familiarity with Azure AI/ML services
  • Data Engineering & Governance
    • Building and maintaining data pipelines and ETL processes
    • SQL/NoSQL databases (PostgreSQL, MongoDB)
  • DevOps/MLOps
    • CI/CD pipelines and versioning (Git, GitHub Actions, Jenkins)
  • Security & Compliance
    • Cloud security groups, identity and access management
    • Compliance with Bahrain NCSC/IGA standards, ISO 27001, ISO 42001
  • Architecture & Design
    • Microservices-based architectures
    • Scalable, high-availability, secure cloud-native systems

Responsibilities:
  • Design, develop, and maintain AI-driven systems integrated with cloud platforms
  • Build, train, fine-tune, and deploy machine learning and large language models (LLMs)
  • Ensure robust MLOps practices (model monitoring, retraining, version control)
  • Implement scalable cloud-native architectures (AWS, Azure)
  • Develop and optimize automated data pipelines ensuring high data quality, governance, reliability

Terms and Conditions:
The ideal candidate should have excellent communication skills and be able to work collaboratively with internal developers and transfer knowledge effectively.

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