
Senior Machine Learning engineer
3 days ago
Position Description
- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Verifying data quality and ensuring it via data cleaning
- Defining validation strategies
- Defining the preprocessing or feature engineering to be done on a given dataset
- Defining data augmentation pipelines
- Finding available datasets that could be used for training
- Training models and tuning their hyperparameters
- Analyzing the errors of the model and designing strategies to overcome them
- Deploying models to production
- Work independently and collaboratively on a multi-disciplined project team in an Agile development environment.
- Be actively involved in the design, development and testing activities for Big data product.
- Provide feedback to development teams on code/architecture optimization.
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Machine Learning Research Intern
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1 week ago
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