Northwest Partners · 1 week ago

Machine Learning Engineer

Miami, FL

Full-time

Onsite

Senior Level

4+ years exp

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ConsultingDevOps

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Responsibilities

Design and implement systems combining rules, models, feature engineering, and business inputs into an email detection product.

Identify and recommend new feature groups or ML model approaches to improve detection efficacy.

Work with infrastructure engineers to productionize signals for the detection system.

Understand features distinguishing safe emails from attacks and debug system degradations.

Write code with testability, readability, and error handling in mind.

Train models on datasets to improve efficacy on specialized attacks.

Monitor and improve False Positive rates and efficacy rates through feature engineering and ML modeling.

Analyze False Negative and False Positive datasets to recommend improvements.

Contribute to building and debugging data pipelines and presenting results to customers.

Lead the team's roadmap, coach junior engineers, and participate in building a world-class detection engine.

Qualification

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PythonMachine LearningSQLPandasSparkData AnalyticsProject ManagementProblem-SolvingCollaborationComputer ScienceElectrical EngineeringBig DataStatisticsCybersecurity

Required

4+ years of experience with production ML systems - understanding the pillars of a modern ML stack and the development, maintenance, and tuning processes of ML models.

A systematic approach to debugging both data and system issues within ML/heuristics models.

Proficiency with Python and machine learning libraries like numpy and scikit-learn.

Experience with data analytics and wielding SQL, pandas, and spark framework to build data and metric generation pipelines and answer critical questions about system efficacy or counterfactual treatments.

Independent responsibility for the entire lifecycle of projects or features, including engineering design, development, and deployment.

Effective collaboration with cross-functional teams to drive projects over the finish line.

A Bachelor's degree in Computer Science or related fields.