AI Performance Engineer

Job Description : AI Performance engineer

Top skills Python Programming Advance Machine Learning Libraries NLP Data.

Classification Model Classification Prompt Engineering.

Key responsibilities

• Experience in Performance Testing and good knowledge in Performance Engineering
• Should be able to gather requirements that are required for the project or Application by working with various stake holders
• Should be able to develop Detail Performance Test Plan and be able to give walkthrough to stake holders
• Should have good experience in scripting and execution skills using at least two performance testing tool LoadRunner Jmeter NeoLoad Any other
• Should have worked in at least one of the Application Monitoring Tool Dynatrace NewRelic Appdynamics Any other
• Coordinate with all stakeholders teams to identify performance bottlenecks across all tiers components layers
• Should be able to review scripts developed by team member and have experience in following best practice
• Analysis and resolution of critical and complex application issues like crashes hung threads memory leaks etc
• Should be able to etc prepare reports that are required with in project like WSR MMR QBR
• Should have good knowledge in CICD pipeline tools like DevOps Jenkins and in AI
• Should have worked in one other Non-Functional Testing Apart from Performance Testing like Chaos Engineering Batch Performance Failover testing etc
• Should have performance monitoring experience across Windows and UNIX platforms with OpenView SiteScope Wily or similar tools
• Ability to understand and analyze AWR reports or similar report that helps to understand the root cause of the Performance Issues