Experiment with emerging technologies and contribute to building new models and systems
Implement prototypes of the algorithms and models you design in Python
Focus on delivering solutions to production (this is not a research-only role)
Design training and evaluation protocols
Set up monitoring for performance metrics and anomaly alerts
Partner closely with the platform engineering team to streamline and optimize MLOps workflows

🎯 Requirements

You have hands-on experience implementing production machine learning systems at scale
Expertise with Python ML libraries like TensorFlow, PyTorch, Scikit-Learn etc
Familiarity with ML tools like MLFlow, Ray Serving
Familiarity with building data pipelines including SQL and large datasets analytics
Familiarity with AWS and Google Cloud big data products

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