Research and implement state-of-the-art ML and generative AI models
Build prototypes for AI-powered recommendations and personalization
Collaborate with engineers and data scientists to evaluate model accuracy and fairness
Contribute to scalable model deployment pipelines and experimentation frameworks
Document findings, benchmarks, and insights for future iterations

🎯 Requirements

MS or PhD in AI, ML, or Data Science
Strong foundations in statistics, optimization, and DL
Proficiency with Python and PyTorch or TensorFlow
Familiarity with cloud ML workflows (SageMaker, Vertex AI, Databricks)

🎁 Benefits

Hands-on with real business datasets
Learn how AI augments customer experience and design workflows

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