Senior Machine Learning Engineer

Your responsibilities:

• You own models from handoff to production: packaging, deployment, monitoring, and readiness decisions.
• You keep production models reliable with drift detection, alerting, and incident response.
• You extend the shared ML platform so it stays useful for every model without project-specific code.

What you bring:

• 2+ years in production ML engineering with real ownership of models after handoff.
• Strong Python, machine learning depth, and experience with SageMaker, AWS, and Terraform.
• An AI-native way of working using tools like Claude, ChatGPT, or Copilot.

What to expect from us:

• A full-time engagement, 40 hours per week, invoiced monthly against your own company.
• Treated as a full member of the team with standups, bi-weekly sprints, and all company communication.
• Fully remote from anywhere in Brazil, direct ownership of models serving a live product.