Research Engineer | Xqp-226

Detalles de la oferta

Intro: What will you do: Design and implement AI solutions for ongoing projects.
Enhance the performance of our existing baseline models.
Generate hypotheses and conduct experiments to validate them.
Contribute to our AI software suite, utilizing PyTorch.
Evaluate and draw meaningful conclusions from designed experiments.
Develop new models in Deep Learning and Transformers.
Engage in research activities involving state-of-the-art technologies.
Continuously improve your skills and knowledge.
What do we expect: Demonstrable experience in Artificial Intelligence, Machine Learning, Transformers, and Software Development.
Numerical Analysis.
A research-oriented mindset with the ability to comprehend and communicate complex ideas effectively.
Strong analytical capabilities.
Proficiency in Python, PyTorch, TensorFlow, OpenCV, Clustering Algorithms, Classification and Semantic Segmentation tasks, and Nvidia CUDA.
Fluency in English.
Desired additional skills: Proficiency in C++, AWS Cloud Services, TensorRT, Docker, AWS infrastructure (Inferentia, Trainium is a plus), and scientific writing will be highly regarded.
Join Screening Eagle's team and be part of the future while experiencing a workplace culture that truly cares about your success!
About us: We are on a mission to protect the built world with software, sensors and data.
We hire talented problem-solvers with bold ambition who share our passion for inspection technology to sustain mission-critical assets and infrastructure for future generations.
Our culture is creative, innovative and inclusive.
We are a fast-paced, product driven, growth company headquartered in Switzerland with our Singapore and Malaga technology hub and a global mindset looking to lead a digital revolution in inspection.
Want to join the #EagleTeam?
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Salario Nominal: A convenir

Fuente: Jobtome_Ppc

Requisitos

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