Data Engineering (AI ML)

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).