Senior AI Engineer (Arabic Speaker)
Tasks
- Automate model deployment with CI/CD
- Build AI agents
- Build conversational AI solutions
- Build predictive analytics solutions
- Deploy AI workloads to cloud
- Deploy machine learning models
- Design generative AI solutions
- Design machine learning models
- Detect model drift
- Develop deep learning models
- Develop generative AI applications
- Develop prompt engineering frameworks
- Develop recommendation systems
- Ensure data quality and compliance
- Evaluate and benchmark AI models
- Fine-tune foundation models
- Implement MLOps pipelines
- Implement model governance
- Implement natural language processing solutions
- Implement retraining strategies
- Implement retrieval-augmented generation
- Implement vector databases
- Integrate AI solutions with APIs
- Manage containerized AI environments
- Mentor junior engineers
- Monitor model performance
- Present AI solution architectures
- Translate business requirements into technical solutions
- Use infrastructure as code
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AWS | Agent systems | Airflow | Artificial Intelligence | Bash | C Sharp | CI/CD | Cloud infrastructure | Cloud platform | Deep learning | Docker | Feature Stores | Fine Tuning | Generative AI | Git | GitHub Actions | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | Jenkins | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Microsoft Azure | Model Governance | Model Monitoring | Model Registry | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | Oracle Cloud | Oracle Cloud Infrastructure | Predictive Analytics | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Shell Scripting | Terraform | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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