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Senior Machine Learning Engineer

Build foundation models and generative AI tools for the AEC industry.
TorontoBoston
Senior
2 months ago

✨ About The Role

- The role involves collaborating with other engineers to develop data pipelines and architectures for data collection, storage, processing, and analysis. - The candidate will be responsible for writing code for model training, testing, and deployment. - Monitoring and troubleshooting machine learning models to ensure accuracy and performance is a key responsibility. - The job requires working with large-scale data sets and managing data flow between systems. - The candidate will communicate findings through quantitative data analysis and qualitative visuals and insights.

âš¡ Requirements

- The ideal candidate has a Master's degree in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field. - They should have over three years of experience in machine learning engineering or a related field. - A strong understanding of deep neural networks, particularly CNNs and transformers, is essential. - Proficiency in at least one deep learning framework, such as PyTorch or TensorFlow, is required. - The candidate should possess strong coding skills in procedural and data-analytics oriented languages, particularly Python.
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Senior Machine Learning Engineer
TorontoBoston
Engineering
About PlanGrid
Mobile applications for the construction industry.