
Senior AI
19 hours ago
Job Description VAM Systems is currently looking for Senior AI & Cloud Systems Developer for our Bahrain operations with the following skillsets & terms and conditions:
QualificationsYears of experience : 8 Years
- Bachelor's in CS/IT/Engineering
- AWS Certified Solutions Architect & AWS Development expert.
- TensorFlow or equivalent AI/ML certification
- Arabic and English speaker
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).
- Python as a primary language.
- Proficiency with TensorFlow, PyTorch, Scikit-learn, Hugging Face.
- Strong experience in API-first development (REST, GraphQL, OpenAPI).
- 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).
- 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.
- CI/CD pipelines and versioning (Git, GitHub Actions, Jenkins, AWS Code Pipeline). Automated testing, model deployment, and monitoring.
- ML lifecycle management (ML flow, Kubeflow).
- Cloud security groups, identity and access management, and data encryption. Compliance with Bahrain NCSC/IGA standards, and awareness of ISO standards (ISO
- Logging, monitoring, and explain ability of AI models for regulatory audits.
- Microservices-based architectures.
- Scalable, high-availability, and secure cloud-native systems.
- System documentation and knowledge transfer
- Agile/Scrum delivery experience.
- Strong documentation, communication, and mentoring skills.
- Ability to work collaboratively with internal developers and transfer knowledge effectively.
- 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.
Joining time frame: days)
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