Vaga de parceiro

AI & MLOps Software Developer - 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 primary focus of this role is to develop internal AI-powered tools that enhance and optimize the work of Software Development Engineers in Test (SDET).
  • This position is dedicated exclusively to AI/ML-driven solution development and does not involve direct SDET responsibilities.
  • The ideal candidate will have strong expertise in AI/ML model development, automation, and tool creation, with a deep understanding of how AI can improve testing processes, efficiency, and software quality.
  • Responsibilities: 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.
  • Mandatory Skills: Artificial Intelligence (AI) Langchain MLFlow Python TensorFlow Mandatory Skills Description: - 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.
  • - 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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