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    Application Development - San Francisco, United States - eTeam Inc.

    eTeam Inc.
    eTeam Inc. San Francisco, United States

    1 week ago

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    Description
    Job Title: Machine Learning Engineer/AI Engineer
    Duration: 8 months Contract
    Location: San Francisco, CA

    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
    • Design, write and build tools to improve the reliability, latency, availability and scalability of Client UDAIP next generation cloud platform
    • 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/Business Continuity Planning to meet compliance standards
    • Maintains a comprehensive operating system hardware and software configuration database/library of all supporting documentation to ensure data integrity
    • Acts to improve the overall reliability of systems and to increase efficiency
    • Works collaboratively with cross functional teams, using Agile / DevOps principles to bring products to life, achieve business objectives and serve customer needs
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