Machine Learning Engineer at Baselayer
Interview Preparation Plan
As a Machine Learning Engineer at Baselayer, you will be instrumental in developing and deploying AI-powered solutions to combat fraud and optimize business onboarding processes. This role involves working with proprietary Graph AI technology to analyze complex data, build predictive models, and ensure the accuracy and efficiency of fraud detection systems. You will contribute to the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment in a production environment. The position requires a strong understanding of machine learning principles, data structures, and software engineering best practices to build robust and scalable ML systems. You will collaborate with cross-functional teams, including data scientists and software engineers, to translate business needs into technical solutions. Your work will directly impact Baselayer's ability to provide cutting-edge risk assessment and fraud prevention services to financial institutions and businesses. This is an opportunity to work on challenging problems in a fast-paced fintech environment, leveraging AI to solve critical industry issues.
Key Responsibilities
- Design, develop, and implement machine learning models and algorithms.
- Process, cleanse, and transform large datasets for ML model training.
- Collaborate with engineers to deploy ML models into production systems.
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