Pwc
Advisory
INSeniorAssociateLLMObservabilityEngineerAppTechAdvisoryPanIndia(earlyjoiners)
“IN_Senior Associate_LLM Observability Engineer_App Tech_Advisory_Pan India (early joiners) at Pwc. Skills: LLM Observability, Performance Testing, AI Applications. Design and Execute Performance Tests. Implement LLM Observability”
What You'll Achieve.
optimise operational efficiency; achieve strategic objectives; ensure systems are performant; reliable; cost-effective; provide actionable insights; recommendations for model fine-tuning; system architecture improvements
Industry & Context.
analytical problem-solving
What They're Looking For.
Must Have
performance testing methodologies, load testing tools, JMeter, LoadRunner, Gatling, LLM observability platforms, tools, Datadog LLM Observability, Arize AI, Langfuse, programming/scripting languages, Python, Java, analytical problem-solving, communication skills, Large Language Models (LLMs)
Nice to Have
LLM Observability & Performance Test Engineer certifications, AppDynamics, DataDog
What You'll Do.
Design and Execute Performance Tests
Implement LLM Observability
Monitor and Analyze Metrics
Identify and Mitigate Bottlenecks
Conduct Automated Evaluations
Troubleshoot Production Issues
Ensure Security and Compliance
Collaborate and Report
How You'll Work.
Team & Collaboration
collaborate with development teams; Work closely with data scientists; ML engineers; QA teams
Communication Scope
communication skills
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