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Machine Learning Engineer

Rose International

This is a Full-time position in Plano, TX posted May 12, 2021.

and those authorized to work in the U.S. can be considered as W2 candidates. Job title Machine Learning Engineer Location Plano, TXDuration 12+ Months Responsibilities bullUse statistical and machine learningf techniques to create scalable analytics solutions within the auto finance space bullEstablish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation bullDrive adoption of best practices across the Data Science organizations bullDesign and architect modular and reusable code both for use in experiments as well as production environments bullDeliver production-ready code bullWork with the broader Data Science to define the KPIs for machine learning projects bullProvide technicalteam guidance and trainingmentorship bullStay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods bullPrepare and present findings to both technical and non-technical audiences Requirements bullBABS degree or equivalent experience in Computer Science, Information Technology or related disciplines bullExperience with cloud-native architecture and container orchestration (particularly Docker and Kubernetes) preferred. bull5+ years of production experience working in Data Science, Machine Learning or Software Engineering bullExperience utilizing Github in the Machine Learning pipeline for best practice code management and collaboration bullSolid production experience using Python (including NumPy), PySpark and SQL bullProduction experience with Apache Spark bullStrong fundamentals in problem solving, algorithm design and complexity analysis bullHands-on experience with web APIs, CICD for Machine Learning bullExperience implementing Machine Learning pipelines in production environments is a plus bullExperience working with data science within the financial service space is a plus

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