AI/ML TESTER

Vrinda International; Bengaluru; Presencial; INR 900.000 - 1.100.000; Jornada completa

Descripción de la vacante

Vrinda International seeks an AI/ML Tester to join our IT Services team, validating data pipelines and AI/LLM workflows. You will design tests with SQL and Python, ensure data quality, and collaborate with development teams to maintain system robustness.

The role focuses on Databricks, PySpark, Pandas, and big data frameworks, with a salary expectation around ₹10 LPA. The ideal candidate has 3–4 years of testing experience in data/AI domains and a strong grasp of data integrity across complex

Formación

• 3 to 4 years of professional experience in software testing with focus on data and AI/ML domains.
• Proficiency in SQL for querying databases and data integrity validation.
• Hands-on Python programming for scripting, automation, and data analysis.
• Experience testing data pipelines and large-scale data environments.
• Familiarity with Databricks, PySpark, Pandas, and Apache Spark technologies.
• Exposure to AI/ML workflows or LLM testing processes.

Responsabilidades

• Execute testing strategies for data pipelines ensuring data quality and integrity across workflow stages.
• Validate AI/ML models and LLM workflows against business requirements and accuracy standards.
• Design and implement SQL-based test cases to verify data transformations and storage.
• Assess data pipelines for scalability and performance using big data frameworks.
• Collaborate with developers to troubleshoot data ecosystem issues and suggest improvements.

Conocimientos

SQL

Python

Databricks

PySpark

Pandas

AI/ML workflows

Descripción del empleo

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Job Description

Summary

We are seeking a skilled AI/ML Tester to join our IT Services team, where you will play a pivotal role in ensuring the reliability and performance of advanced data and machine learning solutions. This position is critical for validating complex data pipelines and workflows, ensuring that AI and LLM-based systems deliver high-quality results. The ideal candidate will possess a strong background in testing methodologies specific to data engineering and artificial intelligence, bridging the gap between development and deployment to maintain system integrity.

Responsibilities

• Execute comprehensive testing strategies for data pipelines, focusing on data quality assurance and integrity across various stages of the workflow.
  
• Validate the functionality and performance of AI/ML models and LLM workflows, ensuring they meet defined business requirements and accuracy standards.
  
• Design and implement test cases using SQL and Python to verify data transformations, storage, and retrieval processes.
  
• Conduct rigorous testing on big data frameworks, specifically utilizing Databricks, PySpark, and Apache Spark to ensure scalability and efficiency.
  
• Leverage Pandas and other data manipulation libraries to analyze datasets and identify anomalies or discrepancies.
  
• Collaborate with development teams to troubleshoot issues within the data ecosystem and recommend improvements for system robustness.
  
• Monitor and assess the overall health of data quality metrics throughout the software development lifecycle.
  

Requirements

Requirements:

• Possess 3 to 4 years of professional experience in software testing, with a specialized focus on data and AI/ML domains.
  
• Demonstrate proficiency in SQL for querying databases and validating data integrity.
  
• Have hands-on experience with Python programming for scripting, automation, and data analysis.
  
• Show proven expertise in testing data pipelines and ensuring data quality within large-scale environments.
  
• Be familiar with Databricks, PySpark, Pandas, and Apache Spark technologies.
  
• Possess practical exposure to AI/ML workflows or Large Language Model (LLM) testing processes.
  
• Hold a salary expectation aligned with the market rate of ₹10 LPA.