Company Overview

Expertia AI Sandbox is an HR Tech company, headquartered in Bangalore, with 51-200 employees. We use advanced AI technology to innovate the recruitment process. Our flagship Virtual Recruiter streamlines job posting and candidate screening with cutting-edge algorithms. Expertia Career Site and Skill Cloud further support talent management by efficiently handling job applications and skill-based searches. Discover more at our website www.expertia.ai.

Job Overview

We are seeking a Mid-Level Quality Engineer to join our dynamic team in Bangalore. This is a full-time position requiring 4 to 6 years of experience in the field. The role involves leveraging expertise in statistical analysis, machine learning, and other data-driven skills to ensure the quality and excellence of our AI-driven recruitment solutions. If you have a passion for technology and a keen eye for detail, we invite you to apply.

Qualifications and Skills

• Experience in machine learning, with the ability to design and implement models to improve product quality and performance.
• Proficiency in Python Programming for developing algorithms and automation to enhance testing and quality assurance processes.
• Skill in data visualization tools to effectively communicate insights and trends to stakeholders.
• Competence in predictive modeling to forecast potential issues and validate improvements within the product framework.
• Knowledge of big data technologies to manage and analyze large datasets efficiently, ensuring thorough quality checks.
• Advanced SQL skills to query databases and extract key metrics essential for rigorous quality assessment and reporting.
• Experience in data mining techniques for identifying patterns and anomalies that could impact product functionality.
• Strong statistical analysis skills (Mandatory skill), essential for evaluating the accuracy and reliability of product results and processes.

Roles and Responsibilities

• Develop and implement comprehensive quality assurance strategies to continuously monitor product performance and user satisfaction.
• Collaborate with cross-functional teams to diagnose and fix software defects, ensuring optimal system functionality.
• Lead efforts in the creation of automated testing frameworks to streamline testing processes and improve efficiency.
• Document and present findings from quality assessments, providing actionable insights to enhance product development efforts.
• Mentor and guide junior engineers in best practices for quality engineering and software testing methodologies.
• Stay updated with the latest technologies and methodologies to keep the QA processes aligned with industry standards.
• Evaluate tools and processes to propose improvements that align with the company's strategic goals in quality management.