Python Developer - NLP, ML, Gen AI - Assistant Vice President

Python Developer - NLP, ML, Gen AI - Assistant Vice President

Apply (opens in new window)

Job Req :

Location(s):

Mississauga, Ontario, Canada

Job Type:

Hybrid

Posted:

May. 12, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Role Summary

We are looking for a mid-level Python Developer - NLP, ML, Gen AI 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 Py Spark ,
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.

• Develop and optimize ETL/data processing jobs using Py Spark ,
  Pandas
  , Py Arrow , and related libraries.

• Work with Parquet files using Fast Parquet 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 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 (
  Py Test /unittest).

• Work with REST APIs, microservices, and basic shell scripting.

• Work with cloud services (ECS), including boto3
  .

• 3–5 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 Py Spark ,
  Pandas
  , Py Arrow , and distributed data pipelines.

• Proficient in working with Parquet using Fast Parquet 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.

• 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.

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

We use automated processing, including artificial intelligence, for our legitimate business interests (or…