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Researcher in Machine Learning/deep Learning
hace 3 semanas
OBSERVABLE UNIVERSE OF THE COMPANY
Our client, a world's leading steel and mining company, is looking for a **Researcher in Machine Learning/Deep Learning applied to Preditive Maintenance.**
You will be part of the team is known as Digital Transformation Solutions (DTS) and is part of Global R&D Spain center. It is a R&D team devoted to provide digital solutions worldwide for the group. DTS is a multidisciplinary team covering a wide variaty of scientific and business areas with our high qualified researchers (engineers, mathematicians, physicist...), all of them with deep expertise in combining Science and Business Know how.
MISSIONS
We want to develop our own tool (including UI software) that will support Maintenance teams on the ArcelorMittal sites (worldwide) to perform their tasks in a most efficient way. Our contribution would be to include a smart signal processing (different sources like vibrations, currents, temperatures, etc..) combined with advanced AI models that will alert the operators when an asset is not performing properly and that will give clues about the source of the problem and the remaining time until a breakage.
We are looking for someone with knowledge of Machine Learning/Deep Learning for predictive maintenance.
You will be in charge of the developpement of the different AI Models in team with a signal processing expert.
**Profile**
ACADEMIC SPHERE
Master Degree or PhD in quantitative field: Mathematics, Physics, Engineering, Computer Science, Operations Research or other related field.
2+ years experience as data scientist
TECHNICAL SPHERE
- Knowledge of probabilistic models, stochastic processes and generative models desirable.
- Proficiency in at least one object oriented programming language (desirable Python).
- Experience with data wrangling.
- Experience with Condition Monitoring/Predictive Maintenance projects would be desirable.
- Desirable experience with Git, Docker, SQL and noSQL databases, data visualization, Spark and/or cloud computing platforms (Azure, Databricks, AWS, Google Cloud).
SOCIAL SPHERE
- Initiative, Adaptability,
- Results Oriented
- High working autonomy
- Team Work
- Project Management skills
SATELLITE INFORMATION
- Takeoff date: ASAP
- Rocket launch site: Avilés - Spain
- Stellar Benefits: 23+12 day off
- Possibilities of developing a scientific professional career in the company (from researcher to expert).
- Possibility to combine digital knowledge with other strategical fields such as decarbonization, environment, 3d Printingbeing all these competences are available in Global R&D Spain
