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    Machine Learning Engineer - Austin, United States - Diverse Lynx

    Diverse Lynx
    Diverse Lynx Austin, United States

    3 weeks ago

    Default job background
    Description


    We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/Client.

    Candidate must have strong NLP exp.


    • Automate end-to-end ETL/Client pipelines with structural understanding of data products.
    . Automate, deploy and maintain Client pipelines into existing cloud resources.


    • Work with team members to assist with data-related technical issues and support their data product needs.
    • Work with team members to evaluate and improve existing Client system and models.

    Required Skills


    • A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience
    • Strong Python/Java programming skills
    • Experience in implementing data pipelines using python
    • Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or Oozie
    • Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies
    • Experience with query APIs using JSON, ProtocolBuffers, or XML
    • Experience with Unix-based command line interface and Bash scripts
    Optional Skills


    • Experience with computer vision or natural language processing a plus.
    • Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hive a plus
    • Data visualization or web development skills a plus
    Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination.

    All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.

    We promote and support a diverse workforce across all levels in the company.
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