Senior Data Engineer: ML Ops & AI Pipelines

Legal operations; Toronto; On-site; CAD 100,000 - 120,000; Full time

Job summary

A leading consultancy firm in Toronto is searching for a Senior Data Engineer to architect robust data pipelines and MLOps solutions. You will collaborate with cross-functional teams, utilizing advanced tools to support AI applications. The ideal candidate has strong experience in data engineering, cloud technologies, and is adept in ETL processes. This role comes with a comprehensive benefits package and opportunities for career advancement.

Benefits

Comprehensive medical, dental, and prescription drug coverage

Employee Assistance Program

Generous time off including personal days and vacation days

Qualifications

• 4-6 years of experience in data engineering with emphasis on ML Ops.
• Advanced proficiency in tools for designing and implementing data pipelines.
• Hands-on experience with feature store management and MLOps practices.

Responsibilities

• Design and maintain scalable data pipelines using Azure tools.
• Lead and optimize ETL processes ensuring data quality.
• Implement robust MLOps workflows for ML models.

Skills

Data pipeline development

Machine Learning Operations (ML Ops)

Azure Data Factory

Apache Spark

SQL

Python

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Databricks

Cloud technologies (Azure, AWS, Google Cloud)

Job description

A leading consultancy firm in Toronto is searching for a Senior Data Engineer to architect robust data pipelines and MLOps solutions. You will collaborate with cross-functional teams, utilizing advanced tools to support AI applications. The ideal candidate has strong experience in data engineering, cloud technologies, and is adept in ETL processes. This role comes with a comprehensive benefits package and opportunities for career advancement.