Senior Machine Learning Engineer

Compass

. Serve as a Machine Learning Engineer responsible for industrializing the core model of a Voice of the Customer (VoC) platform .

Posted 10/5/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Machine Learning model development and deployment, particularly in transforming models into production-ready pipelines on AWS. Proficient in MLOps practices, ensuring model versioning, reproducibility, and statistical validation.

Highest-signal resume keywords

Python ProgrammingAWS SageMakerMLOps PracticesMachine Learning Model DevelopmentStatistical Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel DevelopmentModel VersioningStatistical ValidationModel ExplainabilityGraph Neural NetworksPyTorchPyTorch GeometricNetworkXScikit-learn

Tools & Technologies

AWSSageMakerFAISS

Industry Keywords

Voice of the CustomerMLOps LifecycleData IntegrationBusiness Insights

Tech Stack

Tools & technologies

AWSPythonPyTorchScikit-Learn

About the role

Key responsibilities & impact

Serve as a Machine Learning Engineer responsible for industrializing the core model of a Voice of the Customer (VoC) platform
Transform models developed in notebooks into production-ready, scalable, and parameterized pipelines on AWS
Establish the MLOps lifecycle, ensuring model versioning, reproducibility, and governance
Develop training and inference pipelines in SageMaker
Statistically validate score parity between the current model and the model migrated to production
Contribute to the evolution of the VoC platform, which integrates data from multiple channels to generate business insights

Requirements

What you’ll need

Experience with Python in a production environment
Experience with PyTorch and Machine Learning model development
Experience with AWS SageMaker, including Jobs, Pipelines, Model Registry, and GPU
Experience with MLOps, including model and experiment versioning and reproducibility
Knowledge of statistical validation and model comparison
Preferred: experience with PyTorch Geometric and Graph Neural Networks (GNNs)
Knowledge of NetworkX, scikit-learn, and FAISS
Experience with Machine Learning model explainability

Benefits

Comp & perks

This position is also open to candidates with disabilities