Machine Learning Engineer
Charlotte, NC, United States
Machine Learning Engineer/AI Engineer
Relevant Experience(in yrs) - 10+
San Francisco, CA - Onsite
Fulltime with TCS
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 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 needsThis position is Hybrid Position. Resource should able to come to SFO or Cupertino Office location in CA for 3 days in week.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.