AWS Solutions Architect

18 hours ago

Manama, Manama, Bahrain VAM Systems Full time
Overview

VAM Systems is currently looking for an AWS Solutions Architect for our Bahrain operations with the following skillsets & terms and conditions.

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
  • 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 (MLflow, 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 42001)
    • Logging, monitoring, and explainability 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).
Terms and conditions

Joining time frame: days

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