Machine Learning Engineer

4 weeks ago


Newark, United States AMISEQ Full time

ML Engineer

Data Tech team at Client is looking for a ML Engineer 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 a deep understanding of data science and software engineering practices.

Job Responsibilities:

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.

  • and optimize data pipelines, data flow, and collection for cross-functional teams.
  • and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements.
  • and implement internal process improvements, including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and data loading from a wide variety of data sources.
  • with architecture, data, and design teams to assist with data-related technical issues and support data infrastructure needs.
  • Machine Learning (ML) and Big Data platforms in Hybrid and multi-cloud environment, specifically in AWS SageMaker environment

Experience in the container, streaming, and messaging technologies is a plus

Qualification:

  • degree in computer science, data science, mathematics, or a related field. Master’s degree preferred
  • least two years experience as a machine learning engineer.
  • proficiency with Python framework, Java, and Scala
  • knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • understanding of mathematics, statistics, and algorithms.
  • analytical and problem-solving abilities.
  • communication and collaboration skills



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