The generation department of Luminus plays a critical role in Belgium's energy landscape, with a production capacity of 2135MW. Ensuring the uptime and high performance of our power plants is paramount, and data is at the heart of this mission. We already utilize numerous machine learning models to optimize operations, and this number is expected to grow rapidly.


To continue this data-driven journey, we are expanding our Generation Data Science team. This transversal team supports both thermal and wind domain experts, working closely with those on the plant floor: maintenance engineers, performance engineers, asset managers, technical experts and operators. We seek a Senior Machine Learning Engineer who thrives in a collaborative environment and is passionate about applying their expertise to the complex world of electricity production.


Your daily job

• Industrialize ML Models: You design, develop, and deploy robust machine learning models that address the unique challenges of power generation. These models are used to predict equipment failures, optimize maintenance schedules, enhance energy output, and more.
• Maintainability & MLOps: You champion MLOps best practices to ensure the long-term sustainability and maintainability of data products. You implement robust monitoring, testing, and deployment pipelines.
• Collaboration: You work closely with domain experts, engineers, and operators to understand their needs, gather feedback, and deliver solutions that make a meaningful impact on their day-to-day work.
• Data Platform Integration: You collaborate closely with the IT NEO Data Platform team, leveraging their shared Python packages and workflows to standardize the building and running of ML use cases.
• Innovation: You stay abreast of the latest advancements in machine learning and explore emerging technologies, such as multi-agent reinforcement learning, to identify new opportunities for optimization.

Your profile

• You have a natural understanding and strong interest in the energy domain, with a desire to delve into the complexities of electricity production and its unique challenges.
• You bring over 5 years of proven experience in industrializing machine learning products, from concept to production.
• You are proficient with AWS cloud services, including S3, Glue, Athena, and Sagemaker.
• You have demonstrated expertise in Python development, specifically for data science and machine learning.
• You possess broad knowledge of machine learning frameworks, such as Scikit-learn, XGBoost, Py OD, and Darts, enabling effective implementation of diverse ML solutions.
• You have strong Dev Ops experience, including Git, CI/CD pipelines, and Docker containers, ensuring smooth deployment and maintenance of data-driven solutions.
• You are fluent in English and Dutch/French, allowing for effective collaboration and communication in multilingual environments

Appreciated

• You have experience building multi-agent Retrieval Augmented Generation (RAG) systems.
• You bring demonstrated experience working in industrial environments, preferably within the utility sector.
• You possess expertise in time series anomaly detection techniques.
• You have experience working with historians, such as Aveva OSIsoft PI.

WHY Join us?
You'll be joining a dynamic team at the forefront of data-driven energy production. You'll have the chance to make a tangible impact on our power plants' reliability and efficiency, while collaborating with a diverse group of experts. We offer a competitive salary, excellent benefits, and a culture that values innovation, collaboration, and professional growth.


Curious about your benefits and more? Visit our jobsite.