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Cupertino

    Machine Learning Engineer - Cupertino, CA, United States - ApTask

    ApTask
    ApTask Cupertino, CA, United States

    2 weeks ago

    Default job background
    Description
    Salary- $135K + Benefits


    Job Description:

    Responsibilities:
    Hands on experience in Azure cloud Technology and definitely very good hands on experience in Terraform .


    • Design and implement monitoring and alerting strategies to enforce application SLAs
    • Develop, test, and debug automated tasks (Apps, Systems, Infrastructure)
    • Troubleshoot priority incidents, facilitate blameless post-mortems
    • Work with development teams throughout the software life cycle ensuring sustainable software releases
    • Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions
    • Define, drive adoption and enforcement of service level objectives at both service and experience levels
    • Influence, design and create new architectures, standards and methods for large-scale enterprise systems
    • Build and drive adoption for greater self-healing and resiliency patterns
    • Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands
    • Experience in managing and scaling distributed systems in a public, private, or hybrid cloud environment
    • Advise design reviews, operational reviews, and the deployment of highly available infrastructure.
    • Make monitoring and alerting meaningful to support our uptime goals.
    • Operate and maintain infrastructure in multiple public clouds especially Azure Cloud
    • Experience with deploying, supporting and monitoring new and existing services, platforms, and application stacks
    • Experience with scale testing, disaster recovery, and capacity planning
    • Cloud operations experience in a large scale 24x7 production environment.
    • Manage, innovate and create programs, new software, analytics that drive improvements to the availability, scalability, latency, and efficiency of Client Applications and services.
    Is responsible for developing, implementing and maintaining knowledge-based or artificial intelligence application systems.

    The individual should ensure that information is converted into a format that is digestible and easy for end users to access the information and utilize it optimally.


    Essential functions:
    Designs and writes complex code in several languages relevant to our existing product stack, with a focus on automation
    Configures, tunes, maintains and installs applications systems and validates system functionality
    Monitors and fine tunes applications system to achieve optimum performance levels and works with hardware teams to resolve issues with hardware and software
    Develops and maintains department's knowledge database containing enterprise issues and possible resolutions.
    Develops models of task problem domain for which a system will be designed or built.
    Uses models, hypotheses, and cognitive analysis techniques to elicit real problem-solving knowledge from the experts
    Mediates between the expert and knowledge base; encodes for the knowledge base
    Acts as subject matter expert for difficult or complex application problems requiring interpretation of AI tools and principles
    Researches and prepares reports and studies on various aspects of knowledge acquisition, modeling, management, and presentation
    Develops and maintains processes, procedures, models, and templates for collecting and organizing knowledge into specialized knowledge representation programs
    Acts as vendor liaison for products and services to support development tools
    Maintains the definition, documentation, training, testing, and activation of Disaster Recovery/Busine
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