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    Machine learning engineer - Newport Beach, United States - Seven Seven

    Seven Seven
    Seven Seven Newport Beach, United States

    3 weeks ago

    Default job background
    Description
    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
    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
    Responsibilities

    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
    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
    Qualifications

    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
    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
    Responsibilities

    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
    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

    The client is looking for Machine Learning Engineer to join a diverse team dedicated to providing best in class data services to their customers, stakeholders and partners.


    As a part of our their 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.
    • 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

    Last updated :
    Company information

    We are a global IT professional services firm providing top-caliber tech professionals and a trusted partner of Fortune 500 companies for over 20 years.

    Financial Services, Computer Software, Information Technology and Services, Staffing and Recruiting, Outsourcing/Offshoring
    Privately Held
    Rockaway, New Jersey

    Company Specialties:
    IT Helpdesk and Technical Support, IT Infrastructure Support, Software Development and Quality Assurance, IT Managed Services, Data Management and Reporting Services, and IT BPM

    #J-18808-Ljbffr
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