Senior Machine Learning Engineer
Current- Algorithm Development: Design and implement machine learning algorithms and predictive models.- Model Optimization: Continuously improve existing models for better efficiency and accuracy.- Data Analysis: Manage data collection, cleaning, and analysis to identify patterns and insights.- AWS Ecosystem and Data Engineering: Expertise in leveraging the AWS ecosystem, including services like SageMaker, CloudFormation, and ECR, coupled with the utilization of databases such as Snowflake.- Automation and CI/CD: Use GitHub Actions for automating workflows, ensuring efficient continuous integration and deployment processes.- Cross-Functional Collaboration: Work closely with product development and data engineering teams to integrate machine learning solutions.- Research and Development: Conduct research on new machine learning and AI technologies and assess their potential applications.- Documentation and Reporting: Produce technical documentation and communicate findings to non-technical stakeholders.