[Remote] Staff AI Engineer, Energy Systems

Note: The job is a remote job and is open to candidates in USA. Qcells North America is seeking a highly skilled Staff AI Engineer to join their Grid & Energy Analytics team, focusing on the intersection of artificial intelligence and energy management. The role involves developing and deploying AI solutions to optimize energy systems and enhance forecasting capabilities.ResponsibilitiesMachine Learning Model Development and Deployment: Design, develop, and deploy various types of forecasts, including those for energy market prices and ancillary service prices, energy demand, renewable energy resource generation forecasting like PV and WindDesign and implement Agentic AI systems: Design and implement Agentic AI systems for autonomous energy management. This includes building intelligent agents that make real-time decisions to optimize energy usage and generationResearch and Innovation: Stay ahead of the curve by conducting creative research to identify and implement new machine learning approaches that improve model performance and platform metricsDevelop and deploy robust MLOPs pipelines: Identify, integrate, and manage new data sources to enhance model performance. Ensure the scalability and reliability of all data pipelines. Contribute to the design and development of our internal forecasting platform, supporting the entire machine learning development lifecycle and hosting models in productionProduction Support: Provide ongoing support for production models, including monitoring performance, troubleshooting issues, and resolving production-related problems to ensure reliability and uptimeTeam Collaboration: Partner closely with other teams to ensure that our machine learning and Agentic AI solutions deliver end-to-end valueEnergy Domain Knowledge: Apply knowledge of power systems modeling to create accurate and reliable AI solutions that consider the physical constraints and dynamics of energy gridsSkillsA higher degree (Master's or Ph.D.) is preferred, with a focus on machine learning, statistics, or related mathematicsProficiency in Python with at least 5 years of experience in software development. You should be familiar with agile development practices and be able to write production-quality codeExtensive experience in developing, deploying, and maintaining machine learning models in production, particularly for time series forecasting, clustering, classification applicationsTheoretical and practical experience with a variety of forecasting algorithms and approaches, including statistical, regression, and deep learning algorithms. You should be able to select the most appropriate model for a given applicationExperience with cloud-hosted systems and related tooling, preferred in Azure/Fabric, including compute services, container orchestration, and various database and data warehouse platformsExpertise with relevant Python Machine Learning libraries such as pandas, numpy, xgboost, lightgbm, pytorch, keras, scipy, statsmodels, transformers, nixtla, sklearn, plotly, seaborn, bokeh, and so onExperience with setting up RAG (Retrieval-Augmented Generation) pipelines, fine-tuning, and deploying domain-specific models and agentsIntrinsic motivation and a passion for learning, collaboration, and working in the clean energy spaceTravel may be required up to 10%, depending on business needsExperience with power systems modeling, including concepts like security-constrained economic dispatch, unit commitment, or power flow modelsPrior domain expertise in forecasting, analysis, or trading within electricity markets, such as ERCOT, CAISO, PJM, and othersFamiliarity with energy storage and renewable asset optimization modelingCompany OverviewQcells is a renowned complete energy solutions provider in solar cell and module, energy storage, downstream project business and energy retail. It was founded in undefined, and is headquartered in Irvine, California, US, with a workforce of 501-1000 employees. Its website is http://www.qcells.com/us.Company H1B SponsorshipQcells North America has a track record of offering H1B sponsorships, with 3 in 2026, 11 in 2025, 14 in 2024, 8 in 2023, 15 in 2022, 4 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.