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- Industrialize use cases by turning proof-of-concept models into full-scale production-ready AI solutions that are scalable and sustainable
- Work with cross-functional teams to ensure smooth transitions from development to deployment and operationalization
- Minimum of 5 years of professional experience with proven results in AI, Data Science & MLOps
- Master's degree in computer science, Data Science, Engineering, Mathematics, or a related field
- Advanced certifications in AI, Data Science, Machine Learning, or MLOps would be a plus
- Solid understanding of machine learning algorithms, statistical methods, and predictive modeling
- Proficiency in Python and libraries such as TensorFlow, Keras, scikit-learn, XGBoost, and PyTorch
- Hands-on experience implementing MLOps practices for model deployment, automation, and continuous integration/continuous delivery (CI/CD)