Opportunity Description
Contribute your expertise in machine learning as a Machine Learning Engineer at Layer 6. Develop frameworks that empower ML scientists to create robust models with real-world impact.
This role is focused on designing abstractions for high-performance models and collaborating closely with ML scientists. You will enhance the modelling workflow by building components optimized for deployment on a cutting-edge cloud infrastructure like Kubernetes. Join a team that values quality software design and continuous learning.
Key Responsibilities: • Collaborate with ML scientists to learn modelling workflows • Design and build scalable components for ML models • Ensure model training and deployment on cloud technologies • Conduct detailed code reviews and provide feedback • Educate others on machine learning best practices
Requirements: • Experience in Java for data-intensive software • Familiarity with machine learning modelling workflows • Strong sense of ownership an...
This role is focused on designing abstractions for high-performance models and collaborating closely with ML scientists. You will enhance the modelling workflow by building components optimized for deployment on a cutting-edge cloud infrastructure like Kubernetes. Join a team that values quality software design and continuous learning.
Key Responsibilities: • Collaborate with ML scientists to learn modelling workflows • Design and build scalable components for ML models • Ensure model training and deployment on cloud technologies • Conduct detailed code reviews and provide feedback • Educate others on machine learning best practices
Requirements: • Experience in Java for data-intensive software • Familiarity with machine learning modelling workflows • Strong sense of ownership an...
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