Machine Learning Engineer
Rise Technical
full-remoteseniorpermanentbackend United States Yesterday via LinkedIn
140,000 - 165,000 USD/annual
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Machine LearningPredictive ModelingGenerative AIRAGAutonomous AgentsPythonMLOpsScalable InferenceTime Series ForecastingModel Monitoring & Fairness
About the role
Role Overview
Machine Learning Engineer (Remote – USA) You will take ownership of building and scaling machine learning systems, tools, and pipelines—bringing predictive and generative models from experimentation into scalable production systems.
Responsibilities
- Deploy production-ready machine learning software products
- Create reusable Python packages and data pipelines
- Build RAG systems and autonomous agent workflows
- Monitor model accuracy, consistency, and fairness
- Optimize database queries for large-scale processing
Requirements
- Advanced degree in computer science or related field
- Extensive experience shipping machine learning applications
- Strong Python programming and experience creating libraries/packages
- Understanding of MLOps and scalable inference
- US Citizen or Green Card holder
Nice-to-haves
- Experience integrating emerging AI architecture components
- Experience in utilities/energy-related problem domains (electrification, forecasting, geospatial analysis, decision systems)
About Rise Technical
Rise Technical is a technology-focused professional services firm working on complex, real-world problems in the utility sector. Their work supports electrification, network reliability, geospatial analysis, time series forecasting, and AI-driven decision systems to help utilities navigate rapid industry change.
Scraped 8/4/2026