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Job Description
Required Skills:
Technical Proficiency:
Expert-level Python (pandas, NumPy, scikit-learn, PySpark). Extensive experience with Apache Spark for large-scale data processing. Proficiency in SQL for data manipulation and querying in Lakehouse environments.
AI Foundations:
Strong understanding of statistics, probability, and advanced ML lifecycle management (MLOps).
Preferred Skills:
Experience with Deep Learning frameworks (TensorFlow, PyTorch). Familiarity with Cloud Platforms (AWS, Azure, or Google Cloud Platform) and their native data services. Databricks certifications, such as Databricks Certified Machine Learning Professional.