Senior ML Engineer - Azure Data Platform & MLOps

Starapple; Rijswijk; Presencial; EUR 67.000 - 78.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

27 days annual leave

Travel expense reimbursement

Public transport reimbursement

Laptop or allowance

Hybrid work options

Descripción de la vacante

Starapple is seeking a Senior Machine Learning Engineer in The Hague to join a small, highly technical team working at the intersection of data engineering, ML and MLOps. You will help build an Azure-based data platform for finance, blockchain and digital assets.

You will own the full data lifecycle, from integrating sources and building pipelines to developing and deploying production-ready ML models, while collaborating with data analysts and software engineers.

Formación

• At least 3 years of relevant experience in data engineering, MLOps or similar roles.
• Experience with Microsoft Azure and cloud-based data platforms.
• Strong programming skills in Python and SQL.
• Experience developing data pipelines and ETL/ELT processes.
• Experience with CI/CD, automation and deployment processes.
• Interest in Machine Learning and MLOps.

Responsabilidades

• Data integration and processing for financial and blockchain-related data.
• Design, build and maintain reliable data pipelines and workloads.
• Develop and improve the cloud-based data platform on Azure.
• Develop, deploy and monitor ML models in production.
• Implement and optimize MLOps processes for model deployment and lifecycle management.
• Automate deployments, data workflows and ML processes.
• Monitor data quality, system performance and platform reliability.
• Collaborate with data analysts and software engineers.
• Contribute to evolving the organisation's data infrastructure.

Conocimientos

Data engineering

MLOps

Python

SQL

CI/CD

Git

Azure

ETL/ELT

Software engineering fundamentals

Herramientas

Azure Machine Learning

MLflow

Descripción del empleo

Starapple is seeking a Senior Machine Learning Engineer in The Hague to join a small, highly technical team working at the intersection of data engineering, ML and MLOps. You will help build an Azure-based data platform for finance, blockchain and digital assets.

You will own the full data lifecycle, from integrating sources and building pipelines to developing and deploying production-ready ML models, while collaborating with data analysts and software engineers.