Remote Senior Machine Learning Engineer - Build & Scale

Insight; Calgary; Hybrid; CAD 140,000 - 160,000; Full time

Job summary

Insight seeks a Senior Machine Learning Engineer to lead ML modeling across enterprise engagements, with models integrated into multi-agent systems. You will handle data exploration, feature engineering, model development, and full MLOps on the GEAP platform.

Responsibilities include building anomaly detection and regression models, migrating workloads to GEAP, and managing drift detection, retraining, and deployments through CD pipelines.

Qualifications

• 5+ years applied ML engineering with production experience.
• Strong GEAP knowledge: Model Registry, Pipelines, Experiments.
• Proven regression and anomaly detection skills.
• Production Python: tested code, pandas, NumPy, scikit-learn, GEAP SDK.

Responsibilities

• Lead modeling work on enterprise engagements with ML in multi-agent systems.
• Build end-to-end pipelines, data quality checks, feature engineering, training and evaluation.
• Migrate workloads onto GEAP, translate models to KFP-based pipelines.
• Own drift detection, retraining cadence, thresholding and CD deployment.
• Register models in GEAP Model Registry with ownership and lifecycle.

Skills

ML engineering

Productionizing models

GEAP experience

KFP

Python (production)

Tools

GEAP

KFP

Dataiku

SageMaker

Job description

Insight seeks a Senior Machine Learning Engineer to lead ML modeling across enterprise engagements, with models integrated into multi-agent systems. You will handle data exploration, feature engineering, model development, and full MLOps on the GEAP platform.

Responsibilities include building anomaly detection and regression models, migrating workloads to GEAP, and managing drift detection, retraining, and deployments through CD pipelines.