**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** + Develop and optimize ETL/data processing jobs using **PySpark** , **Pandas** , **PyArrow** , and related libraries. + Work with Parquet files using **FastParquet** or **pyarrow.parquet** for efficient data processing. + Implement data parsing and serialization using **json** , **ujson** , or **orjson** for high-performance JSON handling. + 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 caching and fast lookups using **Redis** . + Manage and deploy ML models using **MLflow** for tracking and versioning. + Support CI/CD workflows using **GitHub** , **LightSpeed Enterprise** , and deployment pipelines. + Create and maintain **Autosys JILs** for job scheduling and automation. + Use basic **Linux commands** for troubleshooting, operations, and deployment tasks. + Monitor application and system health using **ITRS Geneos** .



+ Write unit tests and improve automation test coverage ( **PyTest** /unittest). + Work with REST APIs, microservices, and basic shell scripting. + Work with cloud services (ECS), including **boto3** . **Required Skills** + 8+ years of hands-on **Python programming experience.** + **Solid fundamentals in Python, OOP, and design patterns.** + **Experience with NLP libraries such as Flair, BERT, HuggingFace Transformers, or similar.** + Solid experience with **PySpark** , **Pandas** , **PyArrow** , and distributed data pipelines. + Proficient in working with Parquet using **FastParquet** or **pyarrow.parquet** . + Familiarity with fast JSON parsing libraries (json, ujson, orjson). + Experience building APIs using Flask (FastAPI is a plus). + Experience with MLflow for model tracking and deployment. + Good understanding of CI/CD practices and Git workflows. + Experience working with Redis or similar in-memory stores. + Experience with Autosys JILs for job scheduling. + Comfortable with Linux command line and shell scripting. + Strong debugging, problem-solving, and teamwork skills. + Exposure to cloud services; AWS **boto3** experience is an asset. **Nice-to-Have** + Experience with Polars or Dask for high-performance data processing. + Experience with PyTorch or TensorFlow for model training. + Experience with Docker, Kubernetes, or containerized deployments.



+ Experience with monitoring tools such as ITRS Geneos. + Experience with FastAPI, Airflow, or Prefect. ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Applications Development ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above. ------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi's_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

📌 Data Engineer (Python/AI) - Assistant Vice President (Pune)
🏢 Citigroup
📍 Pune