Senior AI

Overview

Senior AI & Cloud Systems Developer for our Bahrain operations with the following skillsets & terms and conditions:

Location: Bahrain

Qualifications

• Bachelor's in CS/IT/Engineering
• AWS Certified Solutions Architect & AWS Development expert
• TensorFlow or equivalent AI/ML certification
• Arabic and English speaker
• Years of experience: 8 years

Expertise

• AI/ML Competencies
  • Deep learning, reinforcement learning, and large language models (LLMs). Generative AI (LLMs fine-tuning, RAG pipelines, vector databases such as Pinecone, FAISS, or AWS Kendra).
• Computer Vision (OpenCV, AWS Rekognition)
• Natural Language Processing (Hugging Face Transformers, spaCy)

Programming & Frameworks

• Python as a primary language
• Proficiency with TensorFlow, PyTorch, Scikit-learn, Hugging Face
• Strong experience in API-first development (REST, GraphQL, OpenAPI)

Cloud Platforms

• AWS (IAM, VPC, Lambda, CloudWatch, S3, SageMaker, ECS/EKS)
• Familiarity with Azure AI/ML services
• Containerization & orchestration (Docker, Kubernetes)
• Serverless and event-driven architectures (SNS/SQS, Kafka, RabbitMQ)

Data Engineering & Governance

• Building and maintaining data pipelines and ETL processes
• SQL/NoSQL databases (PostgreSQL, MongoDB)
• Big Data frameworks (Apache Spark, Hadoop, AWS EMR)
• Data governance, quality assurance, and audit readiness

DevOps/MLOps

• CI/CD pipelines and versioning (Git, GitHub Actions, Jenkins, AWS Code Pipeline). Automated testing, model deployment, and monitoring.
• ML lifecycle management (ML flow, Kubeflow)

Security & Compliance

• Cloud security groups, identity and access management, and data encryption. Compliance with Bahrain NCSC/IGA standards, and awareness of ISO standards (ISO 27001, ISO)
• Logging, monitoring, and explain ability of AI models for regulatory audits

Architecture & Design

• Microservices-based architectures
• Scalable, high-availability, and secure cloud-native systems
• System documentation and knowledge transfer

Project & Collaboration

• Agile/Scrum delivery experience
• Strong documentation, communication, and mentoring skills
• Ability to work collaboratively with internal developers and transfer knowledge effectively

Responsibilities

• AI/ML Development & Deployment – Design, develop, and maintain AI-driven systems integrated with cloud platforms
• Build, train, fine-tune, and deploy machine learning and large language models (LLMs) for customs and business use cases
• Ensure robust MLOps practices (model monitoring, retraining, version control)
  • Cloud Architecture & System Development – Implement and manage scalable cloud-native architectures (primarily AWS, with exposure to Azure)
  • Develop and optimize automated data pipelines ensuring high data quality, governance, and reliability
  • Build microservices and APIs for seamless integration with existing systems and third-party applications
  • Adhere to Customs, Ministry of Interior, and Government of Bahrain UI/UX standards in application design (layout, accessibility, and navigation)
    • Governance, Compliance & Security – Ensure compliance with cybersecurity, data protection, and national standards (IGA, NCSC Bahrain, ISO)
    • Apply cloud security best practices including identity management, encryption, and secure APIs
    • Prepare systems for audit readiness with proper logging, monitoring, and explain ability of AI models
      • Collaboration & Stakeholder Engagement – Work closely with stakeholders to identify AI-driven opportunities and deliver solutions that add measurable business value
      • Translate business requirements into technical solutions and prototypes
      • Gather and evaluate user feedback to continuously improve systems
        • Leadership & Knowledge Sharing – Mentor and guide junior developers in AI, ML, and cloud best practices
        • Lead training workshops and knowledge-transfer sessions for new systems and enhancements
        • Provide technical documentation, reports, and presentations to management and project committees
          • Continuous Improvement & Support – Troubleshoot, debug, and upgrade existing systems and services
          • Recommend and execute performance and security improvements
          • Stay updated with emerging AI and cloud technologies; adopt best practices in rapid system development
          • Demonstrate adaptability by quickly learning and applying new programming languages and frameworks as needed
          Terms & conditions
          • Joining time frame: days)
          • How to apply: Please send your latest resume at the earliest
          
          #J-18808-Ljbffr

---