Strong Python – data structures, OOPS - software implementation experience
Basics of data science, NLP and ML model concepts,
Experience in handling big data ETL – tools like Hadoop, spark
Strong ML pipeline tools, concepts (ML project lifecycle)
ML project productionizing experience.