Staff Machine Learning Engineer driving engagement and user growth for Snapchat. Designing, building, and deploying impactful machine learning solutions in a team - oriented environment.
GL
Hybrid Pessoa Engenheira de Machine Learning Pleno – MLOps, Dados & IA para Negócios
Posted 2 hours ago
About the role
- MLOps Engineer integrating data and AI solutions for Globo's digital transformation. Focused on automated workflows and data management in a hybrid work environment.
Responsibilities
- Arquitetar, gerenciar e evoluir fluxos de trabalho automatizados, apoiando os cientistas de dados na criação de produtos utilizando machine learning;
- Desenvolver, testar e manter pipelines de ingestão, transformação e disponibilização de dados;
- Garantir a confiabilidade, escalabilidade e performance das soluções de dados;
- Garantir a reprodutibilidade e governança dos modelos criados;
- Trabalhar com grandes volumes de dados estruturados e não estruturados.
Requirements
- Graduação em Ciência da Computação, Engenharia, Estatística, Matemática ou áreas afins;
- Vivência com engenharia de software, DevOPS, MLOps ou Engenharia de Plataformas de Dados;
- Experiência com ferramentas GCP (Google Cloud Plataform);
- Experiência com desenvolvimento de pipelines de dados (ETL/ELT), em ambiente de nuvem preferencialmente GCP (Google Cloud Plataform);
- Conhecimento em IaC usando Terraform;
- Sólidos conhecimentos em SQL e Python;
- Conhecimento básico com containerização;
- Experiência com controle de versionamento (Git) e metodologias ágeis;
- Conhecimento de boas práticas de segurança, governança e qualidade de dados;
- Capacidade de trabalhar de forma colaborativa em times multidisciplinares.
- Experiência com LLM, RAG;
- Noções de versionamento de modelos de Machine Learning;
- Conhecimento em testes automatizados para acurácia dos modelos de Machine Learning;
- Pró-atividade para pesquisas de otimização dos modelos utilizados;
- Pytorch;
- Hugging Face.
Benefits
- Diversidade
- Desenvolvimento profissional
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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