AI Solutions Architect
Bolster your expertise in developing and maintaining robust AI solutions.
About the Role
This position involves productizing GenAI solutions and supporting their maintenance. You will design and maintain CI/CD pipelines and cloud infrastructure, focusing on reliability, security, and scalability. Additionally, you will manage containerized ML applications with Docker, and have experience with Kubernetes is beneficial.
Key Responsibilities
* Designing and Maintaining Infrastructure: Utilize Terraform to create reliable, secure, and scalable cloud infrastructure and CI/CD pipelines.
* Managing ML Applications: Use Docker to manage containerized ML applications, and experience with Kubernetes is advantageous.
* Supporting the Full ML Lifecycle: Monitor model performance, optimize infrastructure, and share best practices to foster continuous improvement.
Requirements
* Experience: 3-5 years as a data engineer, DevOps engineer, or similar role.
* Programming Expertise: Python in a machine learning or data context.
* Cloud Infrastructure: Strong knowledge of Docker and cloud infrastructure; experience with Azure is advantageous.
* English Fluency: Essential; knowledge of Dutch is desirable.
Bonus Points
* MLOps Tools: Experience with tools like MLflow, Weights & Biases, or Azure ML.
* Security Best Practices: Knowledge of security best practices in cloud-based ML environments.
* GenAI Interest: Interest in or experience with GenAI, LLMs, or prompt engineering.