Machine Learning Engineer
Machine Learning Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Our areas of activity are Aerospace Defense & Security Big Science Biotechnology and Fintech.
ARQUIMEA Research Center (ARC) part of ARQUIMEA was born in 2019 with the aim of inventing the technologies of tomorrow. An environment of innovation and excellence at European level from which senior and junior researchers from around the world develop disruptive technologies and business models that will serve as an engine of socioeconomic growth in the medium and long term.
We are looking for aMachine Learning Engineer to develop train and optimize classical quantum and hybrid deep neural network models for prediction use cases: time series forecasting and 3D/volumetric reconstruction.
Tasks to be performed:
- Data preparation and analysis for real and synthetic training datasets.
- Collaborate with scientific researchers to design implement and test deep neural network methods under the classical quantum and hybrid neural networks paradigms.
- Collaborate with scientific researchers to analyze the implementation of stateoftheart methods.
- Conduct hyperparameter tuning of the models and optimize the consumption of resources when training the models.
- Collaborate with scientific researchers to conduct experimental validation of new methods and benchmarking with respect to stateoftheart methods.
Required skills experience and candidate profile:
- Degree or Masters degree in engineering or another relevant field.
- Strong Python programming skills with experience in ML frameworks like PyTorch.
- Deep understanding of artificial intelligence and machine learning including deep learning architectures and experience with time series forecasting.
- Experience with version control and containerization including Git and Docker.
Additionally we will also value experience in the following areas:
- Knowledge of quantum computing including quantum algorithms and quantum machine learning approaches.
Think Big Do the Job & Enjoy Life
At ARQUIMEA we value diversity and inclusion. We do not discriminate on the basis of race color religion gender sexual orientation gender identity national origin age disability or other protected factors by law. All candidates will be considered equally based on their skills and experience
Employment Type
Full Time
