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J&M Group

Data AI Engineer

Markham, ON, Canada

Full-time

Within 25 km of Ajax · About 21.6 km from the city centre

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Job details

Job type: Full-time
Apply by: Apr 25, 2027
Experience: 6-10 years of application development experience.
Posted: Oct 27, 2026

Original job description

Role Overview

We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python, Machine Learning algorithms, NLP, and Large Language Models (LLMs), with the ability to build scalable AI-driven applications in enterprise environments.

Key Responsibilities

Design, develop, and implement AI/ML solutions for business problems.
Build, train, evaluate, and optimize machine learning models.
Develop applications leveraging LLMs, NLP, and Generative AI technologies.
Collaborate with business users, data engineers, and architects to gather requirements and recommend AI-driven solutions.
Develop and maintain data pipelines and model deployment frameworks.
Monitor model performance and implement continuous improvement strategies.
Integrate ML models with enterprise applications through APIs and cloud platforms.
Ensure compliance with data security, privacy, and governance standards.

Required Skills

6-10 years of application development experience.
Strong proficiency in Python.
In-depth knowledge of Machine Learning algorithms and techniques.
Experience with NLP and Generative AI.
Experience working with Large Language Models (LLMs), preferably in banking/financial services.
Knowledge of TensorFlow, PyTorch, or Scikit-learn.
Good understanding of SQL and data processing.
Experience with model evaluation metrics such as Accuracy, Precision, Recall, F1 Score, RMSE, and MAE.
Strong analytical and problem-solving skills.

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More about this job

Responsibilities

Design, build, train, evaluate, and optimize machine learning and generative AI solutions, including applications using NLP and large language models. Develop data pipelines and deployment frameworks, integrate models with enterprise applications, collaborate with business and technical teams, and monitor model performance while ensuring security, privacy, and governance compliance.

Requirements

Requires 6–10 years of application development experience, strong Python skills, and in-depth knowledge of machine learning, NLP, and generative AI, including experience with large language models. Candidates should also know a machine learning framework, SQL and data processing, model evaluation metrics, and have strong analytical and problem-solving skills; financial services experience is preferred.

Skills

Python
Machine Learning
Natural Language Processing
Generative AI
Large Language Models
TensorFlow
PyTorch
Scikit-Learn
SQL
Data Processing
Model Evaluation
Data Pipelines
Model Deployment
APIs
Cloud Platforms
Data Security

Visa sponsorship

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Keywords

Python
Machine Learning
Machine Learning Algorithms
Natural Language Processing
Generative AI
Large Language Models
TensorFlow
PyTorch
Scikit-Learn
SQL
Data Processing
Model Training
Model Evaluation
Accuracy
Precision
Recall
F1 Score
RMSE
MAE
Data Pipelines
Model Deployment
APIs
Cloud Platforms
Enterprise Applications
Data Security
Data Privacy
Data Governance
Banking
Financial Services

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