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ML Engineer

Newark, NJ
Our Client is looking for a ML Engineer for a 9 month contract(can be Remote) to join a diverse team dedicated to providing best in class data services to our customers, stakeholders and partners.
As a part of our CDO organization, you will work with our Data Science and BUs to define solutions for operationalizing data-driven decision making in a cost effective and scalable manner. A full stack engineer with deep understanding of data science and software engineering practices.

•             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.
•             Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources.
•             Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs.
•             Implement Machine Learning (ML) 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
•             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.
•             Excellent analytical and problem-solving abilities.
•             Great communication and collaboration skills.

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