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Software Development & Data Specialist @ Jackson Hogg Responsibilities
The Machine Learning Engineer will investigate, implement, and develop novel algorithms using machine learning techniques. They will analyze data from various sources, both internal and external, create pipelines and algorithms to simulate and augment both real and synthetic data, and develop custom ML algorithms to address detection challenges. The role involves using a variety of ML techniques, including deep neural networks. The engineer will deepen their understanding of the scientific principles behind the data by collaborating with relevant subject matter experts such as bioinformaticians and detector physicists when necessary. They will be responsible for writing high-quality software, taking ownership of specific areas of the codebase, and collaborating closely with other developers and scientists.
Qualifications & Skills:
A good understanding of modern machine learning techniques
A good foundation of coding practices, preferably in Python
A reasonable proficiency with Python
Proficiency with PyTorch or TensorFlow
A critical mindset and understanding of scientific principles
Ability to work in a team of scientists and exchange views and ideas based on evidence
A quality degree in a scientific or software discipline
Able to work with, process and manage large amounts of data
High proficiency with Python
Knowledge of SQL
Proficiency with Julia
Familiarity with Linux
Experience of cloud deployment of software, e.g. AWS
Knowledge of a Python API package such as FastAPI
Experience developing software as part of a team
Familiarity with version control systems, especially git
High proficiency with PyTorch and TensorFlow
Ability to confidently produce and deliver presentations on their work, within a team and to a wider audience
Ability to create and maintain relationships with external collaborators
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Software Development
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