Senior AI

We are 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

·      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: days)

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