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Machine Learning Engineer
Ref No.: 22-00131
Location: Wayne, New Jersey
Responsibilities:
  • Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.
  • Design and implementMachinelearning models and data ingestion pipelines.
  • Develop and support a platform that enables data scientists to rapidly develop, train, and experiment withmachinelearningmodels.
  • 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.
  • Support the building ofmachinelearning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources.
  • Partner with data scientists to understand, implement, train, and designmachinelearning models.
  • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of Client platform.
  • Develop processes, model monitoring, and governance framework for successful Client model operationalization.
  • Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs.
  • ImplementMachineLearning( Client) and Big Data platforms in Hybrid and multi-cloud environment specifically in AWS SageMaker environment
  • Experience in container, streaming and messaging technologies is a plus