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
Benefits
Work from anywhereWorkspace stipendHealth & wellness stipendRetirementPaid parental leaveComprehensive benefits
The hot takeJeff's read on Sinch
Jeff hasn't written this one up yet.
Ask, and Sinch jumps the queue.