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Palo Alto

    Principal Machine Learning Engineer - Palo Alto, United States - FORDER I.T.

    FORDER I.T.
    FORDER I.T. Palo Alto, United States

    2 days ago

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    Description

    We are looking for an experienced professional in the field of Machine Learning Engineering, specializing in ML infrastructure and deep learning architecture. In this role, you will play a key role in developing cutting-edge deep learning structures and enhancing our ML infrastructure. If you are passionate about pushing the boundaries of machine learning technology, building high-value businesses with advanced algorithms, and are eager to make a difference in a dynamic, innovative environment, this is the opportunity you have been waiting for.

    • Key Responsibilities
    • Deep Learning Architecture: Conceptualize, develop, and implement innovative deep learning structures to drive progress and improve the efficiency of our advertising technology. Stay updated on the latest advancements in deep learning research and apply them to practical use.
    • ML Infrastructure Enhancement: Lead efforts to enhance and expand our ML infrastructure, ensuring its reliability, effectiveness, and scalability. Collaborate with multidisciplinary teams to optimize data pipelines, model deployment, and monitoring systems.
    • Collaborative Approach: Work closely with our expert team of machine learning engineers, data scientists, and software developers to seamlessly integrate your solutions into our platform.
    • Performance Improvement: Continuously enhance machine learning models and algorithms to increase the accuracy of ad targeting, recommendation systems, and customer insights.
    • Research and Development: Stay ahead in the field of machine learning research, employing innovative methods to tackle complex challenges within the advertising technology sector.

    Preferred Qualifications

    • Master's or Ph.D. in Computer Science, Machine Learning, or related fields.
    • Demonstrated proficiency in designing, optimizing, and scaling ML infrastructure.
    • Expertise in deep learning architectures and frameworks like PyTorch and TensorFlow.
    • Strong skills in Python programming with knowledge of relevant ML libraries.
    • Thorough understanding of distributed computing, cloud platforms, and big data technologies.
    • Proven success in solving intricate problems and delivering creative solutions.
    • Effective communication abilities and adeptness in collaborating within a team setup.
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