Within Business Area Markets, business decisions are made around the clock and at high frequency, creating strong opportunities for intelligent automation and applied machine learning.
As an ML Engineer in our Data Science team, you will design, build, and evolve machine鈥憀earning systems that run in production and directly support real鈥憈ime electricity trading on the energy markets. Your work has immediate, measurable impact on trading decisions, asset optimization, and business outcomes.
What you will do
In this role, you will actively shape how our ML systems and platform evolve over time, rather than following a fixed blueprint.
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Own and develop production ML systems that support real鈥憈ime trading and operational decision鈥憁aking
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Design and improve MLOps pipelines, including training, deployment, retraining, and monitoring
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Build and operate real鈥憈ime inference services, ensuring alignment between batch training and streaming inference
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Contribute to ML and data architecture decisions, including trade鈥憃ffs between batch and streaming processing and long鈥憈erm maintainability
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Collaborate closely with data scientists, traders, and engineers to translate business needs into robust, scalable ML solutions