Engenheiro de Software em Teste - Remoto

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CANDIDATE-SE

Vaga ofertada por parceiro do Jobbol:
Project Description:Open Video project is focused on OTT platform development for one of the largest North American TV providers.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.Languages:English: B2 Upper Intermediate