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    DevOps Engineer - Toronto, ON, Canada - Nestbox AI Inc

    Nestbox AI Inc
    Nestbox AI Inc Toronto, ON, Canada

    3 weeks ago

    Default job background
    Description
    Nestbox AI is a leading technology company headquartered in New York and Toronto. Our platform is revolutionizing industries such as technology, finance, healthcare, and education.

    Are you passionate about leveraging cutting-edge technology to drive innovation? Are you an experienced DevOps Engineer seeking an opportunity to work in a dynamic and collaborative environment? We are seeking a skilled and dedicated DevOps Engineer to join our dynamic, inclusive and rapidly expanding team in our B2B Generative AI Company.

    In this role, you will play a crucial part in developing and maintaining our infrastructure, automating deployment processes, and ensuring smooth operations of our generative AI platform.


    Location:
    Toronto, ON or Remote
    Develop and automate deployment processes to ensure efficient and reliable software delivery.
    Design and implement scalable solutions to oversee the entire lifecycle of LLMs, from data preprocessing and model training to validation and deployment stages
    Enhance the performance, efficiency, and ethical considerations of LLM training processes through ongoing optimization efforts.

    Develop and maintain robust data pipelines for efficient management of large-scale datasets used in LLM training, while adhering to data privacy laws and regulations.

    Assess and incorporate emerging AI technologies to bolster the effectiveness of LLM training procedures.
    Collaborate with cross-functional teams to optimize performance, scalability, and security of our infrastructure.
    Continuously improve development and deployment processes through automation and tooling.
    Implement best practices for configuration management, continuous integration, and continuous delivery.
    Contribute to the planning and execution of disaster recovery and business continuity strategies.
    Bachelor's degree in Computer Science, Engineering, or a related field.
    3+ years of experience as a DevOps Engineer or a similar role.
    Demonstrable expertise in TensorFlow, PyTorch, and other machine learning libraries.
    Strong background in Natural Language Processing and practical experience with Large Language Models.
    Knowledge of AI model training and data manipulation methodologies.
    Up-to-date understanding of the legal and compliance landscape of AI.
    Proficiency in scripting languages like Python, Ruby, or Bash.
    Solid understanding of CI/CD pipelines and associated tools like Jenkins or GitLab CI.
    Knowledge of monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
    Employer-covered medical plans, dental, vision, and life insurance.
    A flexible, inclusive, and collaborative work environment.
    Your enterprise platform to train and integrate your innovative custom LLM with your own data securely.
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