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    ML and Data Engineer - Santiago de Querétaro, México - XE

    XE
    XE Santiago de Querétaro, México

    hace 3 semanas

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    De jornada completa
    Descripción

    Please Note:

    If you feel like you're a fit for this opportunity, we kindly ask you to complete the application in English and attach an English version of your resume. Much appreciated.

    XE is Hiring an Experienced ML and Data Engineer!

    We are on the lookout for a skilled ML and data Engineer to join our XE Data Science team.

    As an ML and data Engineer, your main tasks will revolve around designing, constructing, and maintaining the essential infrastructure and procedures needed to effectively deploy and oversee machine learning models in a live environment. This comprises responsibilities such as establishing and managing a feature store, setting up delivery pipelines, automating model training and evaluation, and overseeing model performance.

    The position will collaborate closely with data scientists and software engineers to ensure a smooth integration of machine learning models into existing systems and procedures. Additionally, you will be in charge of recognizing and executing top practices for managing and enhancing machine learning models in a live environment.

    The perfect candidate for this job will possess significant experience in both software engineering and machine learning, along with a profound understanding of the hurdles and top practices connected with deploying machine learning models live. Prior exposure to working with cloud computing platforms like AWS or GCP is advantageous.

    Until office restrictions are lifted, remote work will be the norm.

    Our Core Values

    • AMBITION - We think big, experiment, and always question "why not?" and "what if?" We are daring in our thoughts and our actions.
    • RESPONSIBILITY - We engage, offer our viewpoints, and are open to fresh ideas. We take individual responsibility.
    • COMMUNITY - We cherish a sense of belonging, trusting each other, and promoting genuineness. We contribute to our community.

    Expectations

    Key Responsibilities:

    • Machine Learning Expert: Develop and maintain real-time machine learning features using programming techniques at the production level.
    • Creative Process Management: Create, develop, and maintain a central feature store.
    • Process Orientation: Automate the training, evaluation, and deployment of machine learning models.
    • Monitoring and Optimization: Supervise the performance of machine learning models in a live environment.
    • Collaboration: Collaborate closely with data scientists and software engineers to ensure successful integration of machine learning models into existing systems and processes.
    • Identification and Implementation of Best Practices: Establish top practices for managing and optimizing machine learning models in a live environment.
    • Build and manage production-level real-time and batch MLOps pipelines.
    • Devise, create, and manage ML Entity Resolution service.
    • Develop multiple ML microservices and APIs.

    Prerequisites

    • Degree in Computer Science, Software Engineering, or a related field
    • Proficient in the development and maintenance of API services in a cloud environment
    • Strong object and service-oriented programming capabilities in Python to craft efficient, scalable code
    • Familiarity with modern containerization techniques like Docker and Docker Compose
    • Experience with relational and unstructured databases and data lakes
    • An understanding of business objectives and how data policies can impact them
    • Effective communication and teamwork skills
    • A solid grasp of privacy and data security concepts

    Perks

    IMSS

    INFONAVIT

    5% Food Vouchers

    15 annual vacation days

    30 Christmas bonus day per year

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