Aizon

QA Automation Engineer

• Design and own the end-to-end automated test strategy for Aizon products, covering functional, regression, integration, and API test layers across both SaaS platforms based on the guidelines defined by the QC Lead.
• Work closely with Agile development teams and stakeholders to develop and maintain the automation testing framework, using tools such as Jira.
• Define and execute manual tests when necessary.
• Schedule Testing activities.
• Take objective evidence on different devices, browsers, and operating systems.
• Report testing results.
• Collaborate with developers to define unit and integration tests.
• Identify and troubleshoot issues or potential risks in the platform at an early stage of the development cycle.
• Work with the Release Engineering team to create and maintain an automated set of “smoke” and regression tests.
• Provide assistance to Product Owners while they create business requirements and map them with the test strategy and specifications.
• Review requirements, specifications, user documentation, help files, and other project documentation to ensure the quality of the platform and tests to be developed.
• Guide testing and compliance efforts to ensure regulatory, quality, and safety priorities are adequately addressed.
• Line management and Performance appraisal activities for STEs and SDETs in the Quality Control Team.
• Generate structured, human-readable test evidence reports and execution logs that comply with GMP documentation requirements and are ready for internal and customer regulatory audits.
• Automate validation of Aizon AI/ML model management workflows, including model deployment, monitoring, and drift-detection test scenarios.
• Maintain a comprehensive traceability matrix that links requirements, test cases, and automated evidence artifacts, supporting IQ/OQ/PQ validation packages for customer deliverables.

QC Automation Engineer

Artificial Intelligence

• Collaborate with AI and Data Consulting teams to analyze complex data, solve client business problems, and deploy scalable solutions into production.
• Being a great business influence, linearly linked to the Aizon platform.
• Generalize learnings from our AI solutions to help develop new AI-based Native Apps of the Product.
• Assist in the training and fine-tuning of Machine Learning models for the Manufacturing Industry, including supervised/unsupervised models, probabilistic models, linear models, text classification, computer vision, and time-series models.
• Identify bottlenecks in the ETL pipelines and recommend robust software solutions at scale.
• Contribute to a SaaS life cycle through initial prototyping to enterprise-quality testing and final implementations by using Agile methodologies.
• Help to validate algorithm implementations in order to meet the rigorous standards of quality set for the Pharmaceutical Industry.
• Analyze our customers' data in order to model the behavior of a wide variety of pharma manufacturing processes.
• Build AI-driven solutions that fit the needs of the Company's customers, using the tools, algorithms, and software provided by the product developed by our Company.
• Help us to build intelligent and reusable solutions for our customers and the product.

QC Automation Engineer

AI Consultant Intern