Job Title
Machine Learning Engineer/AI Engineer
Relevant Experience (in yrs)
10+
Work Location (State, City and Zip)
San Francisco
Technical/Functional Skills
Azure , Python, AIML, Kubernetes, Devops
Roles & Responsibilities
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 USBank 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
Machine Learning Engineer • San Francisco, CA