No more applications are being accepted for this job
- Design andimplement monitoring and alerting strategies to enforce application SLAs
- Develop, test,and debug automated tasks (Apps, Systems, Infrastructure)
- Troubleshootpriority incidents, facilitate blameless post-mortems
- Work withdevelopment teams throughout the software life cycle ensuring sustainablesoftware releases
- Perform analyticson previous incidents and usage patterns to better predict issues and takeproactive actions
- Define, driveadoption and enforcement of service level objectives at both service andexperience levels
- Influence, designand create new architectures, standards and methods for large-scaleenterprise systems
- Build and driveadoption for greater self-healing and resiliency patterns
- Lead andparticipate in performance tests; identify bottlenecks, opportunities foroptimization, and capacity demands
- Experience inmanaging and scaling distributed systems in a public, private, or hybridcloud environment
- Advise designreviews, operational reviews, and the deployment of highly availableinfrastructure.
- Make monitoringand alerting meaningful to support our uptime goals.
- Operate andmaintain infrastructure in multiple public clouds especially Azure Cloud
- Experience withdeploying, supporting and monitoring new and existing services, platforms,and application stacks
- Experience withscale testing, disaster recovery, and capacity planning
- Cloud operationsexperience in a large scale 24x7 production environment.
- Manage, innovateand create programs, new software, analytics that drive improvements to theavailability, scalability, latency, and efficiency of USBank Applications andservices.
- Designs andwrites complex code in several languages relevant to our existing productstack, with a focus on automation
- Configures,tunes, maintains and installs applications systems and validates systemfunctionality
- Monitors and finetunes applications system to achieve optimum performance levels and workswith hardware teams to resolve issues with hardware and software
- Develops andmaintains department's knowledge database containing enterprise issues andpossible resolutions.
- Develops modelsof task problem domain for which a system will be designed or built.
- Uses models,hypotheses, and cognitive analysis techniques to elicit real problem-solvingknowledge from the experts
- Mediates betweenthe expert and knowledge base; encodes for the knowledge base
- Acts as subjectmatter expert for difficult or complex application problems requiringinterpretation of AI tools and principles
- Researches andprepares reports and studies on various aspects of knowledge acquisition,modeling, management, and presentation
- Develops andmaintains processes, procedures, models, and templates for collecting andorganizing knowledge into specialized knowledge representation programs
- Acts as vendorliaison for products and services to support development tools
- Maintains thedefinition, documentation, training, testing, and activation of DisasterRecovery/Busine
Machine Learning Engineer - San Francisco, United States - Tata Consultancy Services
Description
JobTitle
Machine Learning Engineer/AI Engineer
RelevantExperience(inyrs)
10+
WorkLocation (State, City and Zip)
San Francisco
Technical/FunctionalSkills
Azure, Python, AIML, Kubernetes, Devops
Roles& Responsibilities
Responsibilities:
Hands on experiencein Azure cloud Technology and definitely very good hands on experience inTerraform .
The individual should ensure thatinformation is converted into a format that is digestible and easy for endusers to access the information and utilize it optimally.
ESSENTIALFUNCTIONS: