Sr. Machine Learning Engineer

Insight; Sacramento (CA); Remote; USD 99,000 - 113,000; Full time

Job summary

Insight is seeking a Senior Machine Learning Engineer to drive modeling on enterprise engagements with ML models integrated into multi-agent systems. You will own data exploration, feature engineering and full MLOps lifecycle on GEAP, guiding deployment and governance across projects.

You will build robust regression and anomaly detection models, migrate workloads to GEAP, and establish drift detection and retraining strategies with automated rollback.

Qualifications

• 5+ years applied ML engineering experience.
• Productionizing models at scale (2+ years).
• Deep GEAP experience: Model Registry, Pipelines (KFP), Experiments, Feature Store, Workbench.
• Strong regression and anomaly detection capabilities.
• Production Python: type-annotated, tested, packaged; familiar with pandas/NumPy/scikit-learn.

Responsibilities

• Lead modeling work on enterprise engagements with ML models integrated into multi-agent systems.
• Span data exploration, feature engineering, model development across multiple business segments, and MLOps lifecycle on GEAP.
• Build anomaly detection and regression models; develop end-to-end pipelines with data quality checks.
• Migrate legacy ML workloads onto GEAP; translate models into KFP-based templates.
• Own drift detection, retraining cadence, and alerting for retraining decisions.
• Ensure retraining deploys through CD pipeline with canary and automated rollback.
• Register models in GEAP Model Registry with ownership, lineage and evaluation results.

Job description

Senior Machine Learning Engineer

Location: You will have the flexibility to work fully remotely.

Insight at a Glance

14,000+ engaged teammates globally

$8.2 billion in revenue in 2025

Certified as a Great Place to work in 9 Countries in 2025

Fortune 500 Company (No. 447) in 2025

Received 25+ industry and partner awards in the past year

$1.4M+ total charitable contributions in 2024 by Insight globally

Fortune 500 Solutions Integrator

With deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions.

About the role

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).

Along the way, you will get to:

• Build anomaly detection and regression models.
• 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.
• Own drift detection and retraining. Implement input and output distribution shift detection and accuracy regression checks. Define per-model thresholds and retraining cadence, set up alerting and logic for decisions on when to re-train a model.
• Ensure retraining deploys through the standard CD pipeline with canary, approval gate, and automated rollback.
• Register everything. Ensure every model is registered in GEAP Model Registry with model cards capturing ownership, lineage, evaluation results, and lifecycle state.

Be AmbITious:

This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.

What we’re looking for

• 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.
• Deep GEAP experience. Model Registry, Pipelines (KFP), Experiments, Feature Store, and Workbench. You can stand a project up from zero, not just consume an existing one.
• Strong regression and anomaly detection chops. Gradient boosting (XGBoost / LightGBM / CatBoost), classical statistical anomaly methods (IQR, isolation forests, robust z-scores), and at least one deep approach (autoencoders, normalizing flows). You can defend an architecture choice with empirical results, not preferences.
• Production Python. Type-annotated, tested, packaged. Comfortable with pandas, NumPy, scikit-learn, and the GEAP SDK. 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 benefits available. However, compensation decisions are dependent on the facts and circumstances of each case, including experience and location, and we will also consider candidates outside of this range as necessary.

What you can expect

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.

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.

When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. 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 does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.

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.