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Tech Stack
Tools & technologiesCloudGrafanaJavaScriptJMeterPython
About the role
Key responsibilities & impact- Evaluate and enhance the performance of AI and Machine Learning systems
- Bridge quality engineering and data science to promote model performance
- Guide junior team members in practices for AI testing
- Contribute to the continuous improvement of testing frameworks
- Analyze data to identify areas for performance optimization
- Collaborate with engineering teams to implement solutions
- Stay informed on advancements in AI technologies
- Document processes and findings to support knowledge sharing
Requirements
What you’ll need- Bachelor's Degree
- 3 years of experience
- Oral and written proficiency in English required
- Bachelor's or Master's Degree in Computer Science, Engineering
- Over 4 years of experience in performance testing
- 3-4 years of experience in AI/ML application testing
- Skilled in performance testing tools like JMeter and Locust
- Experienced in scripting languages such as Python or JavaScript
- Familiar with AI frameworks and model serving technologies
- Knowledgeable in MLOps, CI/CD, and cloud platforms
- Skilled in monitoring tools like Grafana and Datadog
- Familiarity with AI ethics and fairness testing.
Benefits
Comp & perks- Participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
performance testingAI testingmachine learningdata analysisscripting languagesMLOpsCI/CDcloud platformsAI frameworksmodel serving technologies
Soft Skills
guidancecollaborationcommunicationknowledge sharing
Certifications
Bachelor's DegreeMaster's Degree