Senior Quality Assurance Automation Engineer
hace 3 semanas
Senior Quality Assurance Automation Engineer Join to apply for the Senior Quality Assurance Automation Engineer role at Avenga At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and UI design, managed services, product development, and software development. In Argentina within the data industry, we are actively seeking a professional to strengthen our team dedicated that creates targeted video ad placements, and selects individual videos, ensuring brands can safely and effectively scale their video ad campaigns based on unique brand preferences. In your role you'll become a vital member in a team of skilled professionals, including lead the testing of our AI-based products and Enterprise Data Platform. Your primary responsibility will involve lead quality assurance initiatives for AI/ML-based applications and enterprise data platforms and design, develop, and maintain automated testing frameworks using Python. This is you: 7-8 years of experience as a Senior/Staff Quality Assurance (QA) Engineer or SDSET in complex data-driven environments. Strong programming and automation skills in Python and SQL. Experience testing data-intensive applications and AI/ML models. Hands‑on experience with databases such as Postgres and data warehouses such as Snowflake. Experience with cloud platforms such as AWS, GCP, or Azure. Proven ability to lead QA efforts and advise engineers on best practices. Experience working in cross‑functional teams, including data science, engineering, and product. Familiarity with CI/CD pipelines and test automation tools. Knowledge of fairness, explainability, and AI model validation techniques. Experience with version control systems such as GitHub or GitLab. Nice‑to‑have skills: Hands‑on experience with PyTorch, NumPy, and Pandas for data validation. Experience with Google Gemini and Vertex AI for evaluating AI models. Knowledge of Looker and LookML for validating data analysis. Knowledge of CI/CD pipelines and test automation frameworks for ML workflows. Experience with AdTech or data‑intensive applications. This is your role: Lead quality assurance initiatives for AI/ML‑based applications and enterprise data platforms. Design, develop, and maintain automated testing frameworks using Python. Develop and execute comprehensive test plans for ML models, ensuring accuracy, fairness, and robustness. Validate data pipelines and ETL processes, working with Postgres, Snowflake, and Looker. Collaborate with data engineers, ML engineers, and product teams to define quality metrics. Identify, analyze, and document defects, ensuring timely resolutions. Establish best practices for QA automation, CI/CD pipelines, and test data management. Mentor junior QA engineers, fostering a culture of quality. Seniority level Associate Employment type Full‑time Job function Quality Assurance Industries IT Services and IT Consulting Argentina $20,000.00-$35,000.00 2 weeks ago #J-18808-Ljbffr
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