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Senior Machine Learning Engineer - Red Hat Inference(m/w/x)
Developing optimization algorithms, managing ML training/deployment pipelines, and evaluating quantization approaches for open source enterprise software. Experience in Computer Vision, NLP, or reinforcement learning required. Community-powered open source development environment.
Requirements
- Strong understanding of machine learning and deep learning fundamentals
- Experience in Computer Vision, NLP, or reinforcement learning
- Experience with tensor math libraries such as PyTorch and NumPy
- Strong programming skills in Python for machine learning solutions
- Ability to develop and implement research ideas and algorithms
- Experience with mathematical software, especially linear algebra
- Strong communication skills with technical and non-technical team members
- BS, MS, or PhD in computer science, computer engineering, or related field
Tasks
- Contribute to designing and developing inference optimization algorithms
- Create and manage training and deployment pipelines
- Benchmark and evaluate quantization and sparsification approaches
- Participate in technical design discussions
- Provide innovative solutions to complex problems
- Conduct thoughtful and prompt code reviews
- Mentor and guide other engineers
- Foster a culture of continuous learning and innovation
- Stay updated on advancements in quantization research
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- NumPy
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Senior Machine Learning Engineer - Red Hat Inference(m/w/x)
Developing optimization algorithms, managing ML training/deployment pipelines, and evaluating quantization approaches for open source enterprise software. Experience in Computer Vision, NLP, or reinforcement learning required. Community-powered open source development environment.
Requirements
- Strong understanding of machine learning and deep learning fundamentals
- Experience in Computer Vision, NLP, or reinforcement learning
- Experience with tensor math libraries such as PyTorch and NumPy
- Strong programming skills in Python for machine learning solutions
- Ability to develop and implement research ideas and algorithms
- Experience with mathematical software, especially linear algebra
- Strong communication skills with technical and non-technical team members
- BS, MS, or PhD in computer science, computer engineering, or related field
Tasks
- Contribute to designing and developing inference optimization algorithms
- Create and manage training and deployment pipelines
- Benchmark and evaluate quantization and sparsification approaches
- Participate in technical design discussions
- Provide innovative solutions to complex problems
- Conduct thoughtful and prompt code reviews
- Mentor and guide other engineers
- Foster a culture of continuous learning and innovation
- Stay updated on advancements in quantization research
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- NumPy
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Red Hat (Switzerland) SARL
Industry
IT
Description
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies.
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