Machine Learning Sr Staff Data Engineer
1 semana atrás
Posição: Machine Learning Engineer –
Sênior Staff
Nosso
cliente é uma referência no segmento de e-commerce em um grande momento
transformacional. Buscamos uma liderança focada em análises de dados para se
unir a uma equipe de alta performance com mindset criativo e provocativo.
Principais responsabilidades:
- Atuar
no time de Machine Learning Operations (MLOps), ajudando a construir
e manter a plataforma que otimiza a jornada dos cientistas de dados, na
entrega dos modelos; - Participar
na implementação de novas tecnologias para novos casos de uso de Machine
Learning e IA; - Realizar
discovery para entender as regras de negócios e pensar em soluções
escaláveis; - Auxiliar
os cientistas de dados na padronização e adoção de melhores práticas nos
projetos de machine learning e IA; - Acompanhar
os canais de alerta, identificar impasses, à fim de mitigá-los e propor
soluções; - Desenvolver
novas features, mantendo rastreabilidade e observabilidade de todo o
desenvolvimento; - Trabalhar
em conjunto com os demais times de engenharia para construir e manter
produtos, com foco em nossos clientes; - Entregar
softwares que atendam um volume massivo de requisições com alta
disponibilidade e que gerem impactos ressonantes para o nosso negócio.
Requisitos esperados:
- Experiência
em posições similares. - Conhecimentos
em Python e Java; - Conhecimento
avançado em SQL; - Experiência
com Streaming de dados; - Conhecimentos
em Feature Store; - Experiência
com Docker, Kubernetes, EKS, Terraform; - Experiência
com Airflow; - Domínio
com o desenvolvimento de software, de preferência em arquitetura de micros
serviços; - Atenção
com a qualidade e padronizaço do código, garantindo legibilidade,
escalabilidade e performance; - Experiência
em ambiente cloud; - Experiência
com metodologias ágeis e práticas ágeis (Ex: TDD, Pair Programming, CI,
CD); - Conhecimento
em Git/Github; - Desejável
conhecimento em Infraestrutura para IA Generativa; - Desejável
conhecimento de Bancos Vetoriais; - Desejáveis
conhecimentos em frameworks de Big Data (Hive, Presto e Spark).
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