ML Engineer - Enterprise Predictive Analytics & AI

Skillhub Solutions Inc.; Montreal; Hybrid; CAD 110,000 - 130,000; Full time

Job summary

Wawanesa Insurance in Montreal, QC invites a Machine Learning Engineer to join the Advanced Analytics Exploration team. You will develop and deploy predictive models using structured and unstructured data, statistics, visualization, machine learning, and large language models to address business problems and communicate findings to technical and business audiences.

The role emphasizes translating requirements into scalable ML workflows, collaborating with ML Operations and Technology teams, and

Qualifications

• Bachelor’s degree in software engineering, data science, computer science, or a related quantitative field, or equivalent work experience; an advanced degree is preferred.
• Knowledge of probability, statistical models, machine learning algorithms, and large language models.
• Strong Python and SQL programming skills; experience with code reproducibility and version control.

Responsibilities

• Translate business and functional needs into scalable machine learning and AI workflows.
• Conduct exploratory analysis and deliver insights to business units and senior leadership.
• Collaborate with Machine Learning Operations and Technology teams to implement production-ready workflows.
• Research machine learning and AI tools, algorithms, and techniques, and implement suitable approaches.
• Follow data security, model governance, and performance standards.

Skills

Python

SQL

Probability

Statistics

ML algorithms

Large language models

Power BI

Databricks

AWS

Communication

Education

Bachelor’s degree or equivalent

Advanced degree preferred

Tools

Databricks

AWS

Power BI

Job description

Wawanesa Insurance in Montreal, QC invites a Machine Learning Engineer to join the Advanced Analytics Exploration team. You will develop and deploy predictive models using structured and unstructured data, statistics, visualization, machine learning, and large language models to address business problems and communicate findings to technical and business audiences.

The role emphasizes translating requirements into scalable ML workflows, collaborating with ML Operations and Technology teams, and