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SUMMARY:
ESSENTIAL SKILLS:
About the Role
SUMMARY:
ESSENTIAL SKILLS:
- Proficiency in Python for data science and production code development.
- Strong experience with classical machine learning algorithms and applied AI techniques.
- Practical experience building and training deep learning models using TensorFlow.
- Familiarity with MLOps practices for deploying and managing models in production.
- Experience with data engineering tasks: ETL, preprocessing, feature engineering and visualization.
- Strong analytical and problem-solving capabilities with attention to performance, efficiency and scalability.
- Experience engaging with stakeholders and translating business needs into technical solutions.
- Hands-on experience with cloud platforms such as AWS and Azure.
- Experience with ML frameworks beyond TensorFlow (e.g., PyTorch, Keras, scikit-learn)
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