RWE - Bellevue, WA

posted about 1 month ago

Full-time - Mid Level
Hybrid - Bellevue, WA
1,001-5,000 employees
Specialty Trade Contractors

About the position

RWE Supply & Trading Americas, LLC is seeking a highly motivated software engineer to join their core AI Lab team. This role focuses on designing and implementing production-grade pipelines for machine learning models, contributing to innovative solutions in the renewable energy sector. The successful candidate will work closely with senior scientists and engineers, playing a pivotal role in architecting, developing, and optimizing end-to-end pipelines that enable the deployment and scaling of advanced machine learning solutions.

Responsibilities

  • Design, develop, and operate complex machine learning and multi-faceted data fusion pipelines in a production environment
  • Collaborate closely with data scientists, machine learning engineers, and scientists to integrate machine learning models into scalable production systems
  • Develop reusable components, libraries, and frameworks to streamline pipeline development and maintenance
  • Optimize pipeline performance, reliability, and resource utilization
  • Expand knowledge of the latest advancements in machine learning technologies, cloud services, and software engineering best practices
  • Contribute to a team culture where diverse viewpoints, backgrounds, and expertise are welcomed

Requirements

  • 2+ years of experience building, deploying, and monitoring complex pipelines that operate at an hours-level cadence
  • Experience in large scale data processing and distributed systems such as Apache Spark
  • Proficiency in Python, Julia, and/or Mojo
  • Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
  • Strong understanding of containerization technologies (Docker, Kubernetes) and orchestration tools
  • Familiarity with version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure-as-code tools
  • Excellent problem-solving skills, attention to detail, and a passion for learning and innovation
  • Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams

Nice-to-haves

  • Experience with stream processing frameworks (e.g., Apache Kafka, Apache Flink) for real-time data ingestion and processing
  • Knowledge of serverless computing and event-driven architectures for building scalable and cost-effective pipelines
  • Experience with Google Cloud Platform MLOps tools (e.g., Vertex AI)
  • Familiarity with monitoring, logging, and debugging tools for distributed systems (e.g., Prometheus, ELK Stack)
  • Proficiency in database technologies for data storage and retrieval (e.g., PostgreSQL, MongoDB, BigQuery)
  • Understanding of security best practices for securing data pipelines
  • Expertise working with large geospatial weather and climate datasets as well as the Pangeo stack

Benefits

  • Task oriented and hybrid working model
  • Diverse and multicultural team in a highly dynamic and rapidly growing business
  • Relocation expenses for moving to the greater Seattle area
  • Competitive salary range of $120,000 - $170,000
  • Supportive and inclusive work environment
  • Excellent development prospects and attractive remuneration package
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