Senior MLOps Engineer - Build Scalable Pipelines (Remote)

Epoch Biodesign; Toronto; Remote; CAD 100,000 - 130,000; Full time

Job summary

A forward-thinking technology firm in Toronto is looking for a Senior Machine Learning Ops Engineer to design and build the foundations of their machine learning operations. The ideal candidate has over 8 years of experience in building production-grade ML pipelines. This remote-first position offers flexibility, autonomy, and a competitive salary, with additional benefits supporting personal and professional growth.

Benefits

Flexible working environment

Remote working budget

Educational budget

Qualifications

• 8+ years of experience with ML pipelines and systems.
• Experience with ML infrastructure tools preferred.
• Comfortable making architectural decisions.

Responsibilities

• Design, build, and maintain automated pipelines for training ML models.
• Ensure systems support regulatory, privacy, and security requirements.
• Collaborate with data engineers and ML engineers.

Skills

Designing and building production-grade ML pipelines and systems

Strong knowledge of experiment tracking

Model deployment strategies

Data versioning and monitoring

Communication skills

Tools

MLflow

Kubeflow

Airflow

Job description

A forward-thinking technology firm in Toronto is looking for a Senior Machine Learning Ops Engineer to design and build the foundations of their machine learning operations. The ideal candidate has over 8 years of experience in building production-grade ML pipelines. This remote-first position offers flexibility, autonomy, and a competitive salary, with additional benefits supporting personal and professional growth.