Machine Learning Software Engineer.
RESPONSIBILITIES Kforce has a client in building a team of Machine Learning Software Engineers in Wilmington, Delaware (DE) and Tampa, Florida (FL) and Plano, Texas (TX). This team is focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers. Summary Our Machine Learning Software Engineers will have the business acumen to understand and analyze problems, define and test hypotheses and develop Machine Learning frameworks and best practices. Additionally, they will be responsible to intricate knowledge of our business domains and data sets which include Systems of Record (SOR), historical and external data. Finally, this individual will take ownership in designing models to deliver performance and accuracy when operationalized as well as inference engines at scale with the business processes and applications. Duties Analyze and conduct learningsimulations with large datasets combining multiple platforms (ex. Hadoop, Spark, AWS), and machine learning frameworks (ex. R, sci-kit, PySpark, Pandas, TensorFlow) Leadmentor a team of data scientists and machine learning engineers, who help the business identify new insights from largerich data sets, and implement data driven strategies that reduces fraud, post-fraud loss and other operational efficiencies REQUIREMENTS 3+ years of hands-on experience Python (or other scripting), Java, HadoopSparkHive andor AWS, and 10+ years of hand-on experience with SQL Expertise across application, data and infrastructure architecture disciplines Advanced knowledge of architecture, design and business processes Experience with Machine Learning, Deep Learning, Data Mining, andor Statistical Analysis tools Operationalize machine learning models using offline and online models, model performance monitoring, frequentautomated model updates, backnow testing, managed test harness and ...