RWE Gruppe
Senior Software Engineer - Machine Learning Pipelines
RWE Gruppe, Bellevue, Washington, us, 98009
Senior Software Engineer - Machine Learning Pipelines
Location(s):Bellevue, WA, US, WA 98004RWE Supply & Trading Americas, LLCTo start as soon as possible, fulltime, permanentWe are building our core AI Weather Lab team to explore creative applications of AI methods to challenges in the renewable energy industry. To help us innovate and build industry-leading AI models, we are seeking an experienced senior software engineer with a proven track record in designing and implementing production-grade pipelines for machine learning models.As a leading member of our engineering team, you will play a pivotal role in architecting, developing, and optimizing end-to-end pipelines that enable the deployment and scaling of advanced machine learning solutions in real-world applications. The successful candidate will play a critical role in developing and maintaining the tech stack of the lab and will work with senior scientists and engineers from a variety of fields. RWE is the third-largest producer of wind power in the world, so you will have a material impact on renewable energy production across the globe.Your future plansIf you're passionate about building scalable pipelines for state of the art production machine learning models and thrive in a fast-paced, collaborative environment, we'd love to hear from you! Your responsibilities will include:Lead the design, development, and operation of complex machine learning and multi-faceted data fusion pipelines in a production environmentCollaborate closely with data scientists, machine learning engineers, and scientists to integrate machine learning models into scalable production systemsDevelop and oversee reusable components, libraries, and frameworks to streamline pipeline development and maintenanceOptimize pipeline performance, reliability, and resource utilizationStay on the forefront of advancements in machine learning technologies, cloud services, and software engineering best practices with an eye towards identifying and integrating exceptional new components into the AI lab’s production repertoireFoster a strong team culture where diverse viewpoints, backgrounds and expertise are valued7+ years of experience building, deploying, and monitoring complex pipelines that operate at an hours-level cadenceExtensive experience in large scale data processing and distributed systems such as Apache SparkExtensive experience in serverless computing and event-driven architectures for building scalable and cost-effective pipelines, including stream processing frameworks for real-time data ingestion and processingDeep expertise in cloud computing platforms such as AWS, Azure, or Google Cloud PlatformStrong understanding of containerization technologies (Docker, Kubernetes) and orchestration toolsProficiency with version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure-as-code toolsProficiency in Python and SQLProficiency in database technologies for data storage and retrieval (e.g., PostgreSQL, MongoDB, BigQuery)Excellent problem-solving skills, attention to detail, and a passion for learning and innovationStrong communication and leadership skills, with the ability to work effectively in cross-functional teams and contribute to a positive team climateAdvantageous, but not a mustExperience with Google Cloud Platform MLOps toolsFamiliarity with monitoring, logging, and debugging tools for distributed systems (e.g., Prometheus, ELK Stack)Understanding of security best practices for securing data pipelinesExpertise working with large geospatial weather and climate datasets as well as the Pangeo stackOur offerWe really appreciate you going the extra mile and using every ounce of energy when the heat is on. That’s why we want to make your time with us as enjoyable as possible. At RWE Supply & Trading we value our employees and strive to create a supportive and inclusive work environment. With a range of competitive benefits, we not only offer excellent development prospects and an attractive remuneration package, but also take care of your well-being and understand that life-work integration is essential. Also our offer includes the following perks:Dynamic of a start-up in a well established environmentUsing cutting edge technology to solve challenging mattersContribution to the company goals of energy transitionHybrid working model with 3 days in the office to foster collaboration and teamworkDiverse and multicultural team in a highly dynamic and rapidly growing businessApply now with just a few clicks:
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87482We look forward to meeting you!We value diversity and therefore welcome all applications, irrespective of sex, disability, nationality, ethnic and social background, religion and beliefs, age or sexual orientation and identity.RWE Supply & Trading is the interface between RWE and the energy markets around the world. Around 2,000 employees from over 70 different countries trade electricity, gas, commodities and CO2 emission allowances. The trading entity also ensures the commercial optimisation of RWE’s power plant dispatch and markets electricity from RWE.More insightsFrom here, you can turn passion into valuable impact.Dive into our world of trading and find out which impact you can make with us.We are looking forward to your online application.
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Location(s):Bellevue, WA, US, WA 98004RWE Supply & Trading Americas, LLCTo start as soon as possible, fulltime, permanentWe are building our core AI Weather Lab team to explore creative applications of AI methods to challenges in the renewable energy industry. To help us innovate and build industry-leading AI models, we are seeking an experienced senior software engineer with a proven track record in designing and implementing production-grade pipelines for machine learning models.As a leading member of our engineering team, you will play a pivotal role in architecting, developing, and optimizing end-to-end pipelines that enable the deployment and scaling of advanced machine learning solutions in real-world applications. The successful candidate will play a critical role in developing and maintaining the tech stack of the lab and will work with senior scientists and engineers from a variety of fields. RWE is the third-largest producer of wind power in the world, so you will have a material impact on renewable energy production across the globe.Your future plansIf you're passionate about building scalable pipelines for state of the art production machine learning models and thrive in a fast-paced, collaborative environment, we'd love to hear from you! Your responsibilities will include:Lead the design, development, and operation of complex machine learning and multi-faceted data fusion pipelines in a production environmentCollaborate closely with data scientists, machine learning engineers, and scientists to integrate machine learning models into scalable production systemsDevelop and oversee reusable components, libraries, and frameworks to streamline pipeline development and maintenanceOptimize pipeline performance, reliability, and resource utilizationStay on the forefront of advancements in machine learning technologies, cloud services, and software engineering best practices with an eye towards identifying and integrating exceptional new components into the AI lab’s production repertoireFoster a strong team culture where diverse viewpoints, backgrounds and expertise are valued7+ years of experience building, deploying, and monitoring complex pipelines that operate at an hours-level cadenceExtensive experience in large scale data processing and distributed systems such as Apache SparkExtensive experience in serverless computing and event-driven architectures for building scalable and cost-effective pipelines, including stream processing frameworks for real-time data ingestion and processingDeep expertise in cloud computing platforms such as AWS, Azure, or Google Cloud PlatformStrong understanding of containerization technologies (Docker, Kubernetes) and orchestration toolsProficiency with version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure-as-code toolsProficiency in Python and SQLProficiency in database technologies for data storage and retrieval (e.g., PostgreSQL, MongoDB, BigQuery)Excellent problem-solving skills, attention to detail, and a passion for learning and innovationStrong communication and leadership skills, with the ability to work effectively in cross-functional teams and contribute to a positive team climateAdvantageous, but not a mustExperience with Google Cloud Platform MLOps toolsFamiliarity with monitoring, logging, and debugging tools for distributed systems (e.g., Prometheus, ELK Stack)Understanding of security best practices for securing data pipelinesExpertise working with large geospatial weather and climate datasets as well as the Pangeo stackOur offerWe really appreciate you going the extra mile and using every ounce of energy when the heat is on. That’s why we want to make your time with us as enjoyable as possible. At RWE Supply & Trading we value our employees and strive to create a supportive and inclusive work environment. With a range of competitive benefits, we not only offer excellent development prospects and an attractive remuneration package, but also take care of your well-being and understand that life-work integration is essential. Also our offer includes the following perks:Dynamic of a start-up in a well established environmentUsing cutting edge technology to solve challenging mattersContribution to the company goals of energy transitionHybrid working model with 3 days in the office to foster collaboration and teamworkDiverse and multicultural team in a highly dynamic and rapidly growing businessApply now with just a few clicks:
ad code
87482We look forward to meeting you!We value diversity and therefore welcome all applications, irrespective of sex, disability, nationality, ethnic and social background, religion and beliefs, age or sexual orientation and identity.RWE Supply & Trading is the interface between RWE and the energy markets around the world. Around 2,000 employees from over 70 different countries trade electricity, gas, commodities and CO2 emission allowances. The trading entity also ensures the commercial optimisation of RWE’s power plant dispatch and markets electricity from RWE.More insightsFrom here, you can turn passion into valuable impact.Dive into our world of trading and find out which impact you can make with us.We are looking forward to your online application.
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