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

Job Req (s):

Mississauga, Ontario, Canada Job Type:Hybrid Posted:

May. 12, 2026

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Job Overview
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  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.

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 ( PyTest /unittest).

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

Work with cloud services (ECS), including  boto3 .

Required Skills

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  PySpark ,  Pandas ,  PyArrow , 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.

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.

Job Family Group:
Technology
- Job Family:
Applications Development
- Time Type:
Full time
- Primary Location Full Time Salary Range: $94,300.00 - $
- Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at the company.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision‑making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

* This job opening is for an existing job vacancy.
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