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 Git Hub and Light Speed Enterprise.

Key Responsibilities

- 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 caching and fast lookups using Redis.
- Manage and deploy ML models using MLflow for tracking and versioning.
- Support CI/CD workflows using Git Hub, Light Speed 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

- 10–12 years of hands-on Python programming experience.
- Strong fundamentals in Python, OOP,



and design patterns.
- Experience with NLP libraries such as Flair, BERT, Hugging Face Transformers, or similar.
- Solid experience with PySpark, Pandas, PyArrow, and distributed data pipelines.
- Experience building APIs using Flask (FastAPI is a plus).
- Experience with MLflow for model tracking and deployment.
- Valuable 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 Tensor Flow for model training.
- Experience with Docker, Kubernetes, or containerized deployments.
- Experience with monitoring tools such as ITRS Geneos.
- Experience with FastAPI, Airflow, or Prefect.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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📌 Data Engineer - Python, AI (India)
🏢 12542 Citicorp Services India Private
📍 India