MLOps Engineer

Role purpose

The MLOps Engineer is a developer with solid experience in systems management, agile methodology, and operational-ready products (DevOps). This role contributes to the development of our Data Science and ML Ops Platform, applying efficient development practices with full-stack proficiency. Team collaboration and leadership potential are key success factors, alongside effective stakeholder engagement and interaction with agronomists and product owners to deliver business impact.

Knowledge, experience & capabilities

Experience

• 4+ years of professional software development experience
• 3+ years hands-on MLOps, DevOps, or platform engineering experience
• Demonstrated experience delivering production ML systems or data platforms
• Track record of working in cross-functional teams

Core Engineering Skills

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