AI Cloud Engineer

Mission Overview:

We are seeking a highly skilled and motivated Cloud Engineer/MLOps Engineer to join Keystone Solutions as a consultant for a prestigious client project. In this pivotal role, you will be instrumental in driving the implementation and optimization of AI and Generative AI-based applications on Microsoft Azure. You will work in a dynamic environment that presents opportunities to apply your analytical skills to solve complex business problems.

Key Responsibilities:

As a Keystone Solutions consultant, you will:

• 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 client 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 Duration:

Expected Start date: As soon as possible

Duration: 24 months (extension possible depending on project evolution)

Language Requirements:

Languages Speaking Reading Writing Mandatory Preferable

English 2/3 2/3 2/3 X

Dutch 2/3 2/3 2/3 X

French 2/3 2/3 2/3 X

1 = Basic 2 = Good 3 = Fluent

Location:

Brussels Centre.

Level of Education Required:

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

Required Knowledge and Experience:

Personal Skills:

• Excellent problem-solving skills
• Ability to work in a fast-paced environment
• Strong communication and collaboration skills

Technical Experience Required:

• 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:

• Proven experience as a Cloud Engineer, MLOps Engineer, or in a similar role.
• Strong understanding of cloud-based architecture, particularly on Microsoft Azure.
• Experience in deploying and managing AI and Generative AI applications in production.

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today at Keystone Solutions Career Portal.