• Empacotar e versionar modelos de machine learning (MLflow, SageMaker Model Registry) • Definir e implementar serviços AWS adequados (SageMaker, Lambda, ECS/EKS, API Gateway, entre outros) • Construir e manter esteiras CI/CD, garantindo automação de testes, build e deploy • Automatizar deploys em múltiplos ambientes (dev/staging/prod) com segurança e rollback • Expor modelos para consumo por outros serviços (via endpoints ou Lambdas) • Configurar e acompanhar monitoramentos em produção (CloudWatch, logs, métricas) • Colaborar com times multidisciplinares para garantir soluções eficientes, seguras e escaláveis.

• Develop, program, and test machine learning systems • Design architectures for reproducible, scalable, and monitored Machine Learning solutions • Assist the data science team in designing and building model deployment pipelines • Build data engineering processes/pipelines within the data environment • Define architecture standards, procedures, and tooling • Define data layers and their intended usage • Implement, fine-tune, and monitor LLM models (e.g., Bedrock, OpenSearch, HuggingFace) • Build inference pipelines for RAG-based responses (Retrieval-Augmented Generation) • Ensure versioning and reuse of trained models and embeddings • Work on continuous improvement of response relevance and source ranking • Work on reducing token costs using optimization techniques • Support integrations with AI APIs, vector stores, and document repositories • Communicate information clearly with technical and business team members • Help identify potential errors and report inconsistencies

• Design, develop, and maintain advanced machine learning models and algorithms to solve complex business problems • Lead complex machine learning projects that solve business challenges and add value to the broader ZipRecruiter Business • Design the overall architecture and infrastructure for machine learning systems, ensuring scalability, efficiency, and robustness • Push the boundaries of what's possible in machine learning in your organization, finding new and innovative ways to use AI to drive business value • Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry best practices and innovation • Stay up-to-date with the latest developments in machine learning and AI, and drive adoption of new techniques and technologies as appropriate

• Design, develop, and maintain machine learning models and algorithms to solve complex business problems • Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools • Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets • Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalability