Our client is looking for an AI Cloud Engineer
Context of the mission / Objective(s) of the job
We are looking for a highly skilled and motivated Cloud Engineer/MLOps Engineer to join our dynamic AI department. This role is pivotal in driving the implementation and optimization of AI and Generative AI-based applications on Microsoft Azure. The successful candidate will work in a dynamic environment that presents opportunities to apply analytical skills to solve business problems.
Key Responsibilities
- Serve as the AI reference in designing and implementing cloud-based architectures dedicated to AI and Generative AI applications on Microsoft Azure.
- Develop and deploy scalable AI and Generative AI models into production environments.
- Collaborate with data scientists and AI researchers to integrate machine learning models into cloud infrastructure.
- Ensure the reliability, scalability, and security of AI applications.
- Automate the deployment, monitoring, and maintenance of AI models and services.
- Stay updated with the latest advancements in AI, Generative AI, and cloud technologies to continuously improve our systems.
- Troubleshoot and resolve issues related to cloud infrastructure and AI model deployment.
Mission period
- Expected Start date: Asap
- Duration: 24 months (Depending on project evolution, extension is possible)
Language requirement
| Language | Speaking | Reading | Writing | Mandatory |
|---|---|---|---|---|
| English | 2/3 | 2/3 | 2/3 | Yes |
| Dutch | 2/3 | 2/3 | 2/3 | Yes |
| French | 2/3 | 2/3 | 2/3 | Yes |
1 = Basic – 2 = Good – 3 = Fluent
Localisation
- Brussels centre.
Level of education required
- University degree in Computer Science, Engineering, or a related field.
Required Knowledge and Experience
Personal Skills (soft skills)
- Excellent problem-solving skills.
- Ability to work in a fast-paced environment.
- Strong communication and collaboration skills.
Technical experience required (hard skills)
- Mandatory:
- Cloud Expertise: Strong knowledge of cloud platforms, especially Azure (Azure ML, Vertex AI, Databricks, Azure OpenAI, etc.).
- Software Engineering: Solid background in application development, API integration, and frontend integration, following security best practices (experience with FastAPI and Asyncio is a plus).
- Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Experience with AI and Generative AI frameworks (e.g., TensorFlow, PyTorch, GPT).
- Gen AI Deployment: Proven experience in deploying and monitoring Gen AI models using CI/CD pipelines, Weight & Biases, and GitHub workflows.
Functional experience required (job experience in particular industry and function)
- Mandatory:
- Proven experience as a Cloud Engineer, MLOps Engineer, or similar role.
- Strong understanding of cloud-based architecture, particularly on Microsoft Azure.
- Experience in deploying and managing AI and Generative AI applications in production.
