Deep Learning Researcher (PhD & Chinese speaking)

Gravitas Recruitment Group Abu Dhabi, Émirats Arabes Unis

Mise en ligne il y a 11 jours CDI Competitive

The Deep Learning Researcher role focuses on developing and refining deep learning and machine learning models to analyse complex datasets. This position is integral to advancing our client’s data modelling capabilities within a collaborative and innovative environment.

About the Company
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Role Overview
The successful candidate will employ deep learning and machine learning techniques to uncover patterns and improve model performance. The role involves implementing models using PyTorch or TensorFlow, with a focus on continuous optimisation and pattern recognition. Reporting initially to the team leads, the researcher will be responsible for delivering high-quality data modelling solutions and insights within an on-site setting. Success will be measured by the accuracy and robustness of developed models.

Key Skills & Experience

Implement various deep learning and machine learning techniques for data modelling
Identify data patterns and intrinsic logic, ensuring continuous model optimisation
Possess advanced programming skills in PyTorch or TensorFlow
Hold a Ph.D. degree in Computer Science, Mathematics, Statistics, Physics, or related STEM fields from a top-tier university
Show prior achievements in academic competitions, especially Kubernetes or Kaggle

Nice to Have
[Limited data provided — review with hiring manager before publishing].

Key Responsibilities

Develop and refine deep learning models using PyTorch or TensorFlow
Discover and analyse data patterns to inform model improvements
Manage the deployment of models in an on-site environment
Collaborate with team members to ensure model performance aligns with project objectives

Requirements