Back
Tier-1 brand, common QA title, and metro location increase applicant competition.
Data-focused QA skills are transferable across industries but still require domain-specific expertise.
Technical tooling and certification preferences but no explicit years makes screening moderately strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement AI and machine learning systems, including developing and deploying ML models using Python and TensorFlow.
Collaborate on data pipeline integration, data wrangling, modeling, and software development using C++ and Java to support scalable data solutions.
Conduct complex data analysis and apply natural language processing for insights to support decision-making and client engagements.
Bachelor's degree required.
Proficiency in English (oral and written) mandatory.
Skills in Python and Java programming languages needed.
Work Experience Required: Not explicitly mentioned in the JD.
Academic background in Computer Science, Engineering, Mathematics, Statistics, AI, or related technical fields.
Certifications in data engineering, machine learning, or cloud platforms (AWS, Azure, Google Cloud, etc.) preferred.
Experience applying AI, machine learning libraries (TensorFlow, Scikit-Learn), and complex data analysis in client-facing environments.