About the role
Title: Model Performance Tester
Location: Pune
Exp: 7-12 Years Key Responsibilities
- Design and execute performance testing strategies for AI/ML models and applications.
- Evaluate model performance, response time, throughput, latency, and scalability.
- Develop and execute performance test plans, test cases, and test scripts.
- Analyze performance bottlenecks and recommend optimization strategies.
- Monitor system performance under varying workloads and stress conditions.
- Collaborate with data scientists, developers, and DevOps teams to improve model efficiency.
- Validate model behavior in production-like environments.
- Prepare performance reports, dashboards, and recommendations for stakeholders.
- Support CI/CD integration for automated performance testing.
- Ensure adherence to performance, reliability, and quality standards.
Required Skills
- 7-12 years of experience in Performance Testing.
- Strong understanding of AI/ML model performance evaluation.
- Experience with performance testing tools such as JMeter, LoadRunner, Gatling, or similar.
- Knowledge of API and microservices performance testing.
- Experience in performance monitoring and bottleneck analysis.
- Strong SQL and scripting skills (Python/Shell preferred).
- Experience working with cloud platforms (AWS, Azure, or GCP).
- Excellent analytical, troubleshooting, and communication skills.
Preferred Skills
- Experience testing Generative AI or Large Language Model (LLM) applications.
- Knowledge of Kubernetes, Docker, and CI/CD pipelines.
- Familiarity with monitoring tools such as Grafana, Prometheus, or Dynatrace.
- Exposure to MLOps workflows.
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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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