Machine Learning Engineer

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 postmortems

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 largescale enterprise systems

Build and drive adoption for greater selfhealing 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 USBank Applications and services.

Is responsible for developing implementing and maintaining knowledgebased 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 departments 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 problemsolving 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 needsThis position is Hybrid Position. Resource should able to come to SFO or Cupertino Office location in CA for 3 days in week.