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    Integration Engineer - Austin, United States - Henderson Scott

    Default job background
    Healthcare
    Description

    Integration Engineer
    Full-Time (Remote) US

    Job Summary:
    My client is looking for an Integration Engineer to join a fast growing AI team. You'll be responsible for automating AI workflows and having them interface with our production tools. This work will include learning and executing AI workflows as they are developed, to help monitor their maturity and determine how best to integrate them into existing systems.
    Responsibilities:
    • Design and develop software interfaces to connect AI models with production tools used by translators.
    • Develop and implement automated workflows that bring AI enhancement into the translation processes.
    • Monitor ongoing production, ensuring seamless operation of AI activities.
    • Conduct testing and debugging of integration solutions to ensure operational efficiency and reliability.
    • Document integration processes, configurations, and troubleshooting procedures.
    • Collaborate with AI researchers, software developers, and linguists to understand requirements and design integration solutions.
    Knowledge, Skills, and/or Abilities Required:
    • Strong programming skills.
    • Experience with APIs, web services, and data exchange formats.
    • Experience with AWS deployment and configuration of computational resources, including Deep Learning models, in production environments.
    • Excellent communication skills.
    • High degree of organization, individual initiative, and personal accountability.
    • General knowledge with natural language processing (NLP) and machine learning concepts is a plus.
    • Experience working with translations or data in multiple languages is a plus.
    Educational/Vocational/Previous Experience Recommendations
    • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
    • Proven experience in software development and integration, preferably in a production environment.
    To apply - please contact Sam Shinner


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