Data Engineering (AI ML) (3+)
Must Have Skills/Project Experience/Certifications:
· Experience required is 3-5 years.
· Architect and deploy end-to-end ML/AI pipelines, including data ingestion, processing, modeling, and deployment.
· Python/PySpark programming focused on data engineering and machine learning.
· Experience with modelling (regression, classification, clustering), anomaly detection and time-series analysis.
· Manage large datasets with advanced Python and SQL skills.
· Experience with big data platforms (Hadoop, Spark).
· Work with diverse data storage formats (JSON, AVRO, Parquet, native DB formats).
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