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Senior AI & Cloud Systems Developer

Company:
VAM Systems
Location:
Bahrain
Posted:
September 03, 2025
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Description:

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

Qualification:

• 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

Expert with

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 42001).

• 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 and conditions

Joining time frame: (15 - 30 days)

The selected candidates shall join VAM Systems – Bahrain and shall be deputed to one of the leading Organizations in Bahrain.

Should you be interested in this opportunity, please send your latest resume at the earliest at

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