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Qcells Europe · 3 months ago

Senior Staff AI Engineer, Energy Systems

United States

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

Qcells is a leading photovoltaic manufacturer focusing on high-performance solar cells and modules. They are seeking a Senior Staff AI Engineer to join their Grid & Energy Analytics team, where the role involves developing AI solutions for optimizing energy systems and enhancing forecasting capabilities.

ElectronicsEnergyEnergy StorageIndustrial EngineeringIndustrial ManufacturingManufacturingRenewable EnergySolar

Responsibilities

Machine 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 Wind

Design 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 generation

Research 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 metrics

Develop 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 production

Production Support: Provide ongoing support for production models, including monitoring performance, troubleshooting issues, and resolving production-related problems to ensure reliability and uptime

Team Collaboration: Partner closely with other teams to ensure that our machine learning and Agentic AI solutions deliver end-to-end value

Energy Domain Knowledge: Apply knowledge of power systems modeling to create accurate and reliable AI solutions that consider the physical constraints and dynamics of energy grids

Qualification

Machine LearningPythonMLOpsEnergy Domain KnowledgeCloud SystemsForecasting AlgorithmsPower Systems ModelingIntrinsic MotivationCollaboration

Required

A higher degree (Master's or Ph.D.) is preferred, with a focus on machine learning, statistics, or related mathematics

Proficiency 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 code

Extensive experience in developing, deploying, and maintaining machine learning models in production, particularly for time series forecasting, clustering, classification applications

Theoretical 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 application

Experience with cloud-hosted systems and related tooling, preferred in Azure/Fabric, including compute services, container orchestration, and various database and data warehouse platforms

Expertise with relevant Python Machine Learning libraries such as pandas, numpy, xgboost, lightgbm, pytorch, keras, scipy, statsmodels, transformers, nixtla, sklearn, plotly, seaborn, bokeh, and so on

Experience with setting up RAG (Retrieval-Augmented Generation) pipelines, fine-tuning, and deploying domain-specific models and agents

Intrinsic motivation and a passion for learning, collaboration, and working in the clean energy space

Travel may be required up to 10%, depending on business needs

Preferred

Experience with power systems modeling, including concepts like security-constrained economic dispatch, unit commitment, or power flow models

Prior domain expertise in forecasting, analysis, or trading within electricity markets, such as ERCOT, CAISO, PJM, and others

Familiarity with energy storage and renewable asset optimization modeling

Company

Qcells Europe

Glassdoor3.2

Qcells is a renowned complete energy solutions provider in solar cells and modules, energy storage solutions, downstream project business, and distributed energy solutions business.

Founded in 1999

Wolfen, Sachsen-Anhalt, DEU

1001-5000 employees