We are looking for a Machine Learning Engineer to design, build, and automate machine learning (ML) pipelines. The ideal candidate will collaborate with cross-functional teams to ensure the successful delivery and operation of end-to-end ML solutions in a cloud environment.

Responsibilities

• Understand and work with requirements for ML pipelines.
• Develop robust and scalable ML pipelines.
• Automate ML pipelines, including scheduling, monitoring, status notifications, and resiliency.
• Collaborate with analysts, data engineers, data scientists, and visualization developers to ensure ML pipeline development supports end-to-end solution delivery.
• Write clean, maintainable, and well-documented code.
• Create and improve documentation for the development and operation of ML pipelines.
• Investigate and resolve production issues in a timely manner.
• Participate in code reviews and support other engineers with guidance and best practices.
• Contribute to agile ceremonies and support project management activities.

Qualifications

• Significant experience developing ML pipelines using Python and key ML libraries (e.g., pandas, scikit-learn).
• Experience developing ML pipelines in cloud environments — GCP preferred, but AWS or Azure also relevant.
• Strong communication skills with the ability to collaborate with both technical and non-technical team members.
• Experience with agile development methodologies (e.g., Kanban, Scrum).
• Strong understanding of CI/CD tools, particularly GitHub Workflows.
• Experience with orchestration frameworks such as Apache Airflow.

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