Successstoneit
Machine Learning Engineer
Successstoneit, Johns Creek, Georgia, United States,
Job Requirements
4+ years of industry experience in building machine learning applications.Experience in building large-scale machine learning infrastructure for online recommendation, ads ranking, personalization, search, NLP, etc.SQL - 3+ years of relevant experience (Mandate).4+ years of very strong ML project experience with AWS.Experience with Big Data and distributed technologies such as Spark, EMR, Kafka is a plus.Practical experience in object-oriented design, data structures, algorithm designs, run-time analysis, and code quality verification.Proficiency in at least one modern programming language such as Python (preferred), Scala, Java, or Go.Experience working hands-on developing and deploying ML solutions with software engineering rigor on cloud-based ecosystems such as AWS.Preferred knowledge of machine learning, data mining, information retrieval, statistics, or natural language processing.Prior exposure to internal PayPal micro-services or infrastructure is a plus.Passion and intellectual curiosity for the FinTech domain.Comfortable working in an ambiguous, fast-paced, and high-growth dynamic environment.Excellent written and verbal communication skills, with the ability to take ownership of meetings with cross-functional team leads on a regular basis.
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4+ years of industry experience in building machine learning applications.Experience in building large-scale machine learning infrastructure for online recommendation, ads ranking, personalization, search, NLP, etc.SQL - 3+ years of relevant experience (Mandate).4+ years of very strong ML project experience with AWS.Experience with Big Data and distributed technologies such as Spark, EMR, Kafka is a plus.Practical experience in object-oriented design, data structures, algorithm designs, run-time analysis, and code quality verification.Proficiency in at least one modern programming language such as Python (preferred), Scala, Java, or Go.Experience working hands-on developing and deploying ML solutions with software engineering rigor on cloud-based ecosystems such as AWS.Preferred knowledge of machine learning, data mining, information retrieval, statistics, or natural language processing.Prior exposure to internal PayPal micro-services or infrastructure is a plus.Passion and intellectual curiosity for the FinTech domain.Comfortable working in an ambiguous, fast-paced, and high-growth dynamic environment.Excellent written and verbal communication skills, with the ability to take ownership of meetings with cross-functional team leads on a regular basis.
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