Senior ML Engineer | Remote, GEAP & MLOps Expert

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

Job summary

Insight seeks a Senior Machine Learning Engineer to lead modeling on enterprise engagements, deploying ML within multi-agent systems on the GEAP platform. You will explore data, engineer features, build models, and manage the full ML lifecycle in production environments.

You will own drift detection, retraining, and model registry workflows, collaborating with teams to translate models into scalable pipelines using KFP concepts on GEAP. Remote work is supported.

Qualifications

• 5+ years applied ML engineering with at least 2 years productionizing models at scale
• Strong GEAP experience: Model Registry, Pipelines, Experiments, Feature Store, Workbench
• Proven regression and anomaly detection capabilities across models
• Production Python: type-annotated, tested, packaged; familiar with pandas/NumPy/scikit-learn and GEAP SDK

Responsibilities

• Lead modeling work on enterprise engagements with ML models integrated into multi-agent systems
• Build end-to-end ML pipelines: data quality checks, feature engineering, training, tuning and evaluation
• Migrate legacy ML workloads onto GEAP and translate models to GEAP pipeline templates
• Own drift detection and retraining: set thresholds, cadence, alerting and rollout through CD pipeline
• Register models in GEAP Model Registry with ownership, lineage and lifecycle state

Skills

GEAP

KFP pipelines

Model Registry

Python production

Anomaly detection

Tools

GEAP SDK

KFP DSL

Job description

Insight seeks a Senior Machine Learning Engineer to lead modeling on enterprise engagements, deploying ML within multi-agent systems on the GEAP platform. You will explore data, engineer features, build models, and manage the full ML lifecycle in production environments.

You will own drift detection, retraining, and model registry workflows, collaborating with teams to translate models into scalable pipelines using KFP concepts on GEAP. Remote work is supported.