Machine Learning Engineer
Core
Identify high-value opportunities for machine learning and optimization, build datasets and production pipelines, and deploy models into customer and internal workflows.
Role type
Machine Learning Engineer
Builds
Production ML pipelines and models for industrial operations
Domain
Industrial manufacturing, supply chains, and materials
Deliverable
production ML models
Required skills
Applied machine learning, statistics, software engineering, Python, SQL, model deployment, rigorous evaluation practices (via careerplan.io/jobs/24623-machine-learning-engineer-at-nox-metals)
Preferred skills
Operations research, geometric optimization, forecasting, industrial data, logistics data, marketplace data, human-in-the-loop decision systems
Responsibilities
Build datasets, features, models, and evaluation systems; Establish baselines and deploy models; Monitor model quality, drift, and latency; Design safeguards for uncertain predictions; Work with operators and domain experts; Improve data quality and document experiments
