Oscar is seeking a highly skilled AI Security Engineer for a two-year project in Qatar. The role involves securing machine learning systems, LLM deployments, and data pipelines in enterprise settings. The position offers a competitive, tax-free salary with a relocation package, focused on advanced AI security and privacy techniques.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Role: AI Security Engineer
Location: Doha, Qatar
Salary: Negotiable (Tax Free) + Relocation Allowance
Summary:
Oscar Technology has partnered with a leading consultancy firm to recruit a specialist for an exciting two-year project based in Qatar. The successful candidate will play a key role in ensuring the security posture of the firm. A relocation package is available and can be negotiated.
We need a technically focused AI Security Engineer with 5 years' hands‑on experience securing machine learning systems, LLM deployments, and data pipelines in enterprise environments. Deep expertise in adversarial ML, secure MLOps, model integrity, and privacy-preserving techniques. Proven record of designing production-safe inference services, automating adversarial testing, and reducing model exposure and data leakage risk.
This is an excellent opportunity for someone looking to advance their career with a major Qatari firm while enjoying tax-free earnings. Salary is dependant on experience and negotiable.
Technical expertise we are looking for:
AI & Automation:
- Workflow Automation (Make.com, Zapier, n8n, MS Power Automate)
- AI Agents & Chatbots (OpenAI, LangChain, Rasa, Dialogflow)
- Business Process Automation (RPA, API-Integration, SaaS Workflows)
- Generative AI & LLMs (GPT, Prompt Engineering, Agentic Workflows)
Technologies & Tools:
- OpenAI API, LangChain, n8n, Make.com, Zapier
- MS Power Platform, Power Automate, SharePoint
- Docker, SQL, REST APIs, Postman, GitHub
- Confluence, JIRA, MS Project, Trello, Asana
Programming & Test Automation:
- Python, Java, C#, C/C++
- Test Automation (Pytest, Robot Framework, Playwright, Selenium)
- QA & Test Management (Azure DevOps, CI/CD, Test Strategies)
Cloud & Infrastructure:
- Microsoft Azure (AI, Automation, Data Services)
- Amazon Web Services (AWS AI, Lambda, EC2)
- Cloud Integrations & Deployment
- Consulting & Project Management
- IT Project Management (Agile, Scrum, Kanban)
- Process Optimization & Digital Transformation in SMEs
- Workshops, Trainings & Coaching for AI Automation
- Stakeholder Management & Change Management
Soft Skills:
- Intercultural Collaboration
- Structured & Solution-Oriented Approach to Work
What you will be responsible for:
- Model Security & Hardening: adversarial training, gradient masking, model watermarking, integrity verification
- Privacy & Data Protection: differential privacy, secure aggregation, federated learning, synthetic data
- MLOps & Infrastructure: Kubernetes, Docker, MLflow, CI/CD for ML, Terraform, Vault
- Secure Deployment: encrypted inference, API gateway hardening, rate limiting, runtime monitors
- Threat Modeling & Testing: ATT&CK for ML mapping, red-team adversarial scenarios, prompt-injection testing
- Languages & Frameworks: Python, Bash, Go, PyTorch, TensorFlow, Hugging Face Transformers, ONNX
- Cloud & DevSecOps: AWS (SageMaker, ECR, IAM), Azure ML, GCP Vertex AI, GitHub Actions
- Monitoring & Observability: Prometheus, Grafana, ELK Stack, model drift detection