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    Senior MLOps Engineer - San Francisco, United States - DeepRec

    DeepRec
    DeepRec San Francisco, United States

    2 weeks ago

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    Description

    Job Title: MLOps Engineer - Visual Generative AI

    Hybrid: San Francisco

    Apply promptly A high volume of applicants is expected for the role as detailed below, do not wait to send your CV.

    Join a pioneering visual Generative AI company at the forefront of innovation. We specialize in leveraging cutting-edge technologies to create stunning visual content, pushing the boundaries of creativity and imagination. We're seeking a talented MLOps Engineer to join our dynamic team and drive optimization, cost reduction, throughput enhancement, and rapid delivery of our groundbreaking projects.

    About the Role:

    As an MLOps Engineer, you'll play a critical role in optimizing orchestration processes, reducing costs, upgrading throughput, and ensuring fast and efficient project delivery. You'll work closely with our engineering and data science teams to streamline our machine learning operations pipeline and implement best practices for managing and deploying our visual Generative AI models.

    Responsibilities:

    • Optimize orchestration processes to ensure efficient deployment and management of AI models.
    • Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
    • Upgrade throughput to enhance the scalability and responsiveness of our AI systems.
    • Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.
    • Ship new features and updates rapidly, maintaining a high level of quality and reliability.

    Requirements:

    • Extensive experience as an MLOps Engineer or similar role, with a proven track record of optimizing machine learning pipelines and infrastructure.
    • Strong background in working with video data and processing pipelines.
    • Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
    • Experience with orchestration tools and frameworks such as Airflow, Kubeflow, or MLflow.
    • Excellent problem-solving skills and the ability to troubleshoot complex issues in a fast-paced environment.
    • Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

    Why Join Us:

    • Be part of a visionary team driving innovation in visual Generative AI.
    • Work on cutting-edge projects that push the boundaries of creativity and imagination.
    • Enjoy a dynamic and collaborative work environment where your ideas are valued and encouraged.
    • Take on exciting challenges and make a meaningful impact on the future of AI and creative technology.

    Please apply for more details

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