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AI-Powered Job Summary
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- Must Have Skills: Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- - Experience with cloud-based ML platforms (AWS, GCP, Azure).
- - Solid understanding of MLOps tools and practices (CI/CD, model monitoring, retraining).
- - Familiarity with distributed computing and big data tools (Spark, Ray, Dask).
- - Knowledge of responsible AI principles, including fairness, transparency, and accountability.
- Excellent communication skills and ability to present technical concepts to diverse audiences.
- Nice to Have Skills:
- Prior experience in translating ML solutions into measurable business impact
- Deploy and Monitor ML Models – Ensure models are successfully deployed into production environments and continuously monitor their performance and reliability.
Manage Model Lifecycle – Track model performance, detect drift, retrain models when necessary, and optimize infrastructure for scalability and cost efficiency.
Key Skills
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