Machine Learning Solution Architect

Job Title: Machine Learning Solution Architect

Job Type: Permanent

Job Location: Hague, Netherlands

Language: Dutch Proficiency

Job Description:

The ML architect will be responsible for designing the overall MLOps architecture and ensuring its alignment with client’s business objectives.

Define and design the end-to-end architecture for MLOps pipelines, ensuring scalability, reliability, and security.

Establish a modular architecture that supports continuous integration and continuous deployment (CI/CD) of machine learning applications.

Identify and select the appropriate tools, frameworks, and platforms for model development, deployment, and monitoring (e.g., Kubeflow, MLflow, TensorFlow, SageMaker).

Work closely with business stakeholders to translate requirements into scalable machine learning solutions.

Act as the technical liaison between MLOPs teams and business units, ensuring alignment with project goals and timelines.

Facilitate the transition from development to production, ensuring models are deployed with minimal friction.

Design observability and monitoring frameworks to detect drift, ensure performance, and trigger automated re-deployments when necessary.

Define standards, best practices, and guidelines for MLOps, ensuring adherence to compliance and regulatory requirements.

Collaborate with data engineers, data scientists, DevOps engineers, and other stakeholders to implement best practices for model lifecycle management.

Develop strategies for deploying ML models as APIs, batch processing jobs, or streaming services.