ML Engineer
Il y a 9 heures
Liège, Walloon Region, Belgique
Visser & Van Baars
Temps plein
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pbPermanent contract /b /p h3Machine Learning Engineer | Energy Transition Scale-up (Liège) /h3 pbPermanent contract /b /p h3About our client /h3 pOur client is an internationally active technology specialist in grid optimization for the energy sector. Its solutions help grid operators make the most of their transmission capacity, detect defects at an early stage and improve the reliability and resilience of the network. In doing so, the company accelerates the integration of renewable energy. It works with customers and installations around the world. /p h3About the role /h3 pAs a Machine Learning Engineer, you will build and maintain the AI/ML solutions behind the company's products. You take full responsibility for these models in production: keeping them dependable, improving them over time and automating their training. /p pYou will be part of the software development team and help integrate models and tools into customer-facing applications and internal systems. This is a hands-on role with a lot of ownership, not a pure research position. /p h3What you'll do /h3 ul liDesign, implement, maintain and optimize domain-specific AI/ML algorithms, using the company's own sensor data alongside other sources such as remote sensors, weather providers and customers' own data, and drive their integration into the software platforms /li liTake full ownership of ML models in production: keep them reliable at scale, improve their accuracy and automate the pipelines that train and serve them /li liSupport the software development frameworks with sample algorithms and libraries /li liProvide technical support to customers and internal departments /li /ul h3What we're looking for /h3 h3Required /h3 ul liMSc in Computer Science or Data Science (or equivalent or higher) /li liHands-on experience creating and applying advanced machine learning algorithms and statistical methods: regression, simulation, scenario analysis, modeling, clustering, decision trees and neural networks /li liExperience querying databases, working with web services and using statistical/computing languages /li liExperience automating ML model variations using scripts or CI pipelines /li liExperience in Python and SQL /li liDemonstrated experience deploying and maintaining ML models in production /li liStrong experience in time series data processing /li liStrong written and verbal communication and presentation skills in English and French /li liComfortable working in an international environment with remote teams /li liA genuine appetite for learning new technologies and taking on varied tasks /li /ul h3Nice to have /h3 ul liWorking experience in Java and ONNX models /li liExperience developing customer-facing applications /li liExperience working with GIS, 3D or Lidar data /li liExperience with SCADA systems and energy-sector applications /li liExperience with unit testing /li /ul pYou don't need to tick every nice-to-have box. /p h3What
we offer
/h3 ul liA permanent position at an innovative scale-up in the energy transition sector /li liAn international team, varied tasks and real ownership of models in production /li liA competitive salary /li liAdditional benefits /li liHome working /li liLocation: bLiège /b /li /ul h3Languages /h3 pEnglish and French. Day-to-day work is mostly in English, but a good command of French is a clear asset for working with the whole team. /p
we offer
/h3 ul liA permanent position at an innovative scale-up in the energy transition sector /li liAn international team, varied tasks and real ownership of models in production /li liA competitive salary /li liAdditional benefits /li liHome working /li liLocation: bLiège /b /li /ul h3Languages /h3 pEnglish and French. Day-to-day work is mostly in English, but a good command of French is a clear asset for working with the whole team. /p