Urgent! Data QA Engineer Job Opening In Colombia, Colombia – Now Hiring Solvd, Inc.
Solvd Inc.
is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.
We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery — from strategic advisory and solution design to custom AI development and enterprise-scale implementation.
Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are looking for a Data QA Engineer to join our growing team.
Sense of ownership of the QA process and product quality.
Develop comprehensive test plans and test strategies specific to the client’s AI/ML Platform and AI/ML models.
Test AI/ML models at different stages of development to identify errors, points of failure and ensure accurate results.
Design and implement AI/ML-based test automation.
Analyze and interpret test results to provide recommendations for issue resolution and improvements.
Monitor bug resolution efforts and track to ensure timely issue resolution.
Collaborate closely with developers to identify and troubleshoot issues during the development process.
Utilize AI/ML debugging, profiling tools to assist in testing, issue identification.
Collaborate with ML Engineers and Product Managers to deeply understand the user experience and product context of ML product features under test.
Work closely with ML Engineers to understand the structure, characteristics, and intended use of the datasets created for machine learning tasks.
Use SQL knowledge for data testing, getting data from databases, comparing data sets.
Detect and document data quality issues, including inaccuracies, inconsistencies, and anomalies, and work collaboratively to troubleshoot and resolve them.
Driven by results — have the pragmatic urgency to resolve blockers, unclear requirements and eventually make things happen.
Improve data, test and automation coverage by continuously reviewing customer issues and usage patterns.
5+ years of building QA infrastructure or test cases as a Quality Engineer or Quality Assurance Engineer.
Strong knowledge of software QA methodologies, tools and processes.
Experience in writing clear, concise and comprehensive test plans and test cases.
Hands-on experience with SQL for data querying and analysis, and data set creation.
Hands-on experience with data testing.
Strong understanding of database systems, data structures, and data manipulation techniques.
Experience working in an Agile/Scrum development process.
Experience with performance and/or security testing is a plus.
BS/MS degree in Computer Science, Engineering or a related subject.
Team player and ability to roll up your sleeves and do what it takes to make the team successful while leveraging your leadership skills to coach, train, and mentor less experienced Professional Services team-members.
Hands-on experience with both white box i.e. at least one scripting language like Java , Python , etc.
Excellent communication and collaboration skills, ability to work with cross functional teams.
Strong problem solving skills, very detail oriented.
Ability to work independently.
Computer Science, ML or related field with QA experience in AI/ML models.
Experience with testing and automation tools for validating AI/ML Models.
Proficiency in Python or Java.
Experience working with orchestration platforms.
Experience collaborating with data science teams and leveraging their datasets in a testing environment.
Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
Be part of a global team with equal opportunities for collaboration across continents and cultures.
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds.
Apply today and let’s innovate together.
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Unlock Your Data QA Potential: Insight & Career Growth Guide
Real-time Data QA Jobs Trends in Colombia, Colombia (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data QA in Colombia, Colombia using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 3222 jobs in Colombia and 616 jobs in Colombia. This comprehensive analysis highlights market share and opportunities for professionals in Data QA roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Solvd, Inc. is currently hiring and seeking a Data QA Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data QA Engineer Jobs Colombia.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Solvd, Inc. adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data QA Engineer Jobs Colombia varies, but the pay scale is rated "Standard" in Colombia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data QA Engineer typically include Arquitectura Y Diseño De Software and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data QA Engineer interview at Solvd, Inc., research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Solvd, Inc.'s products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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