Machine Learning Engineer/Software Developer

• Designing and developing machine learning systems and predictive models.


• Running machine learning tests and experiments.


• Implement appropriate ML algorithms.


• Study and transform data science prototypes.


• Select appropriate datasets and data representation methods.


• Perform statistical analysis and fine-tuning using test results.


• Build, deploy, and optimize machine learning models for predictive analytics, risk assessment, operational improvements and into production.


• Design, develop, and maintain scalable data pipelines, ETL processes, and data infrastructure, with a focus on Databricks for data processing and analytics.


• Drive code reviews to ensure code quality, maintainability, and adherence to coding standards.


• Extending...

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