AI Cloud Engineer

Role: AI Cloud Engineer

Location: Brussels, Belgium

Deadline for submitting CV’s: Asap

Start Date: ASAP

Client: Elbruspoint

Description:

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.

Language requirement

* English
* Dutch
* French

Level of education required

University’s degree in Computer Science, Engineering, or a related field.

Required Knowledge and Experience

Personal Skills (soft skills – intangible qualities or traits that enhance our interactions)

Mandatory

* Excellent problem-solving skills
* Ability to work in a fast-paced environment
* Strong communication and collaboration skills
* Technical experience required (hard skills related to physical or digital tools)

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 in particular 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.

Tagged as: .net, Collaboration, Git, Machine Learning, Problem Solving, PyTorch, TensorFlow

Source ⇲
mygeekjob.com