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Machine Learning Engineer
Skills
Data EngineeringData ScienceDatasetsMachine Learning AlgorithmsPattern RecognitionProduct EngineeringPython
What the job involves
The main requirements, responsibilities and hiring steps.
Day to day
- Develop tools to streamline development management and/or evaluation of models
- Collaborate on the design and build end-to-end machine learning pipelines on cloud infrastructure
- Prepare and preprocess datasets for model evaluation
- Run and manage experiments related to model evaluation and training
- Evaluate model performance using standard metrics and techniques
- Collaborate with other teams including product management and platform engineering to ship features
- Collaborate on the implementation of MLOps best practices to ensure smooth model deployment monitoring and maintenance
- Engage with internal and external stakeholders translating complex technical details into clear insights
- Contribute to the product engineering lifecycle from ideation to deployment and maintenance of new features