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Develop and optimize ETL/data processing jobs using PySpark, Pandas, PyArrow, and related libraries. Build and maintain NLP pipelines using Flair, BERT, and LLM-based models. Develop scalable ingestion and data transformation pipelines for AI and analytics use cases. Build and maintain Flask-based APIs for model inference and service integrations. Use regular expressions for text cleaning, parsing, and NLP preprocessing. Integrate cac...
About the Role
Role Summary
We are looking for a mid-level Python Developer with combined experience in Data Engineering and AI/NLP engineering. The candidate will build NLP pipelines using libraries such as Flair, BERT, and LLM frameworks, and will also work on large-scale data processing using PySpark, Pandas, and related data tools. The role includes developing APIs, integrating with platform services, and supporting CI/CD deployments using GitHub and LightSpeed Enterprise.
Key Responsibilities
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