Vaga de parceiro

AI SDET - Porto Alegre / RS

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • We are seeking a highly skilled AI Engineer to join our Software Quality Engineering (SQE) team.
  • The ideal candidate will have a dual focus: contributing to AI/ML solution development while performing responsibilities typical of a Software Development Engineer in Test (SDET).
  • This role involves building and deploying AI-powered solutions for enhancing software testing, automation frameworks, and processes.
  • Responsibilities: AI Engineering: 1.
  • AI Solution Development: 1.
  • 1.
  • Develop AI-powered solutions to improve software quality assurance processes.
  • 1.
  • 2.
  • Leverage frameworks like Retrieval-Augmented Generation (RAG) and other state-of-the-art AI/ML frameworks to design innovative testing and debugging tools.
  • 1.
  • 3.
  • Create models for triaging and debugging test case failures using structured and unstructured data, such as log files.
  • 2.
  • Framework Optimization: 2.
  • 1.
  • Enhance testing processes with AI to automate root-cause analysis, bug detection, and recommendation systems.
  • 2.
  • 2.
  • Collaborate with cross-functional teams to integrate AI solutions into existing software testing pipelines.
  • 3.
  • MLOps Development: 3.
  • 1.
  • Design, implement, and maintain robust MLOps pipelines for continuous integration and deployment of AI/ML models.
  • 3.
  • 2.
  • Automate workflows for model training, evaluation, and deployment.
  • SDET Responsibilities: 1.
  • Test Case Creation & Maintenance: 1.
  • 1.
  • Write, maintain, and optimize manual and automated test cases for functional, regression, and performance testing.
  • 1.
  • 2.
  • Collaborate with development teams to define test strategies and acceptance criteria for new features.
  • 2.
  • Automation Framework Development: 2.
  • 1.
  • Build and enhance automation frameworks for Android, Web, and backend systems using tools like Appium, Selenium, or equivalent.
  • 2.
  • 2.
  • Integrate automation pre-checks, post-checks, and reporting systems to ensure test case reliability.
  • 3.
  • Code Review & Collaboration: 3.
  • 1.
  • Review and provide feedback on code quality and design for testability.
  • 3.
  • 2.
  • Work closely with software engineers and other SDETs to drive testing best practices.
  • 4.
  • Test Data Management: 4.
  • 1.
  • Work with engineering teams to ensure proper test data management, including synthetic data generation for testing AI-based solutions.
  • Mandatory Skills Description: AI/ML Expertise: - Strong knowledge of machine learning frameworks (e.
  • g.
  • , TensorFlow, PyTorch, Scikit-learn).
  • - Experience with MLOps tools (e.
  • g.
  • , MLflow, Kubeflow, AWS Bedrock, SageMaker).
  • - Proficiency in RAG frameworks and understanding of knowledge-based systems.
  • - Familiarity with LangChain and Hugging Face Transformers.
  • Experience working with Streamlit.
  • - Strong command on all AWS services and prompt engineering techniques and Dspy.
  • SDET Expertise: - Proficiency in test automation tools (e.
  • g.
  • , Appium, Selenium, JUnit, TestNG).
  • - Strong programming skills in languages like Python, Java.
  • - Experience with CI/CD tools like Jenkins, GitLab CI, or equivalent.
  • General Skills: - Familiarity with cloud platforms (e.
  • g.
  • , AWS, GCP, Azure).
  • - Knowledge of SQL and database management for test data validation.
  • - Strong debugging and troubleshooting skills in software systems.

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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