AWS Solutions Architect

3 weeks 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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