www.acad.jobs : academic jobs worldwide – and the best jobs in industry
                
     
Position: Machine Learning Engineer
Institution: Prudential Financial, Inc.
Location: Newark, New Jersey, United States
Duties: Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture; Design and implement Machine learning models and data ingestion pipelines; Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models; Expand and optimize data pipelines, data flow, and collection for cross functional teams; Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements; Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability
Requirements: Bachelor's degree in computer science, data science, mathematics, or a related field. Master’s degree preferred; At least two years' experience as a machine learning engineer; Advanced proficiency with Python framework, Java and Scala; Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture; Good understanding of mathematics, statistics, and algorithms
   
Text: Machine Learning Engineer Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture; Design and implement Machine learning models and data ingestion pipelines; Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models; Expand and optimize data pipelines, data flow, and collection for cross functional teams; Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements; Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability Bachelor's degree in computer science, data science, mathematics, or a related field. Master’s degree preferred; At least two years' experience as a machine learning engineer; Advanced proficiency with Python framework, Java and Scala; Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture; Good understanding of mathematics, statistics, and algorithms
Please click here, if the job didn't load correctly.







Please wait. You are being redirected to the job in 3 seconds.