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About the Role
Responsibilities
- Collaborate with data science and engineering teams to develop, optimize, and deploy machine learning models in on premises and cloud environments.
- Oversee the ML model lifecycle from data preparation and feature engineering to deployment and monitoring.
- Prepare, clean, and transform data to be used for training and inference.
- Ensure the scalability, reliability, and performance of machine learning models.
- Monitor and maintain deployed models, implement updates, and troubleshoot any issues that may arise.
- Assist in designing and maintaining machine learning pipelines, ensuring efficient data flow and model deployment.
- Translate analytical findings into clear recommendations for stakeholders.
- Ensure responsible AI practices are followed, addressing bias, fairness, and ethical considerations in line with Data Privacy, Cybersecurity, and AI policies.
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