From the listing
About the role
We are looking for a Machine Learning Engineer to join our team and help build the next generation of communication technology.
In this role, you will be responsible for the end-to-end lifecycle of machine learning models that power our products, impacting millions of users.
What you'll do
- Design, train, and deploy production-grade ML models, including text classification and image classification.
- Own the full ML lifecycle—from experimentation and validation to deployment, monitoring, and continuous improvement.
- Build and maintain scalable data pipelines for preprocessing, validation, and transformation of large datasets.
- Ensure ML systems are reliable, observable, and scalable in high-volume production environments.
- Collaborate closely with Engineering and Product teams from problem definition to delivery.
- Implement and optimize ML algorithms using Python and frameworks like TensorFlow, PyTorch, and Scikit-learn.
- Optimize model and system performance in cloud environments, particularly AWS.
- Promote best practices in experimentation, reproducibility, testing, monitoring, and documentation.
What they're looking for
- Experience with FastAPI development and monitoring.
From the company page
Sinch benefits
Work from anywhereWorkspace stipendHealth & wellness stipendRetirementPaid parental leaveComprehensive benefits
◉ Remote policy · in their words
“Our flexible remote work offerings allow you to work wherever you are the most productive and successful. It is what you do, not where you work, that matters.”
Pulled from their careers page · verified by Atlas
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