Machine Learning Engineer Senior Machine Learning Engineer You will have the flexibility to work fully remotely. We are not just a tech company; We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions.

As an Senior Machine Learning Engineer, you will lead the modeling work on enterprise engagements where ML models are often integrated directly into multi-agent systems. We will count on you to span data exploration, feature engineering, model development across multiple business segments, integration into agent response loops, and operating the full MLOps lifecycle on Gemini Enterprise Agent Platform (GEAP). Develop end-to-end pipelines that check data quality, engineer features, train, tune and evaluate models, and perform either batch or online inference.

Migrate legacy ML workloads onto GEAP (formerly known as Vertex AI). Translate existing models from platforms such as Dataiku or SageMaker into KFP-based pipeline templates on GEAP. Implement input and output distribution shift detection and accuracy regression checks.

Ensure retraining deploys through the standard CD pipeline with canary, approval gate, and automated rollback. 5+ years applied ML engineering, with at least 2 years productionizing models at scale. You have shipped models that real users or downstream systems depend on, not just notebooks. ~ Model Registry, Pipelines (KFP), Experiments, Feature Store, and Workbench.



You can stand a project up from zero, not just consume an existing one. ~ Gradient boosting (XGBoost / LightGBM / CatBoost), classical statistical anomaly methods (IQR, isolation forests, robust z-scores), and at least one deep approach (autoencoders, normalizing flows).

Production

Python. Type-annotated, tested, packaged. Familiar with KFP DSL for pipeline authoring. The base salary range for this position is typically $140,000 CAD to $160,000 CAD with additional bonus and perks available.

We’re legendary for taking care of you, your family and to help you engage with your local community. But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today, your ambITious journey starts here.

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you! Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. #

📌 Machine Learning Engineer Intern (Ottawa)
🏢 Insight Enterprises
📍 Ottawa