You will beresponsible for :
develop, deploy and monitor Machine Learning systems in production.
develop components for proprietary Machine Learning development frameworks.
develop solutions for on-premises or cloud-based (AWS / Azure Cloud) infrastructures.
interact in English with multiple stakeholders of the project.
assist and guide the team to achieve the committed technical goals.
Requisitos :
Graduation in Computer Science, Engineering or related fields
Great experience with software development in general : processes, archictecture, languages, best development practices
Great experience with Docker and Kubernetes. Experience in creating and maintaining production-level infrastructure.
Experience with cloud computing platforms such as AWS and Microsoft Azure.
Great experience with DevOps, understanding of fundamentals like CI / CD, version control, and testing.
Experience with Infrastructure-as-code.
Intermediate to advanced knowledge on MLOps and ML solutions lifecycle in production.
Experience with AWS SageMaker, AzureML or equivalent and orchestration tools like Kubeflow, Airflow, MLflow and specially Flyte is a plus.
Advanced or Fluent English.
Soft Skills : proactivity, team work, leadership and results orientation
O Instituto de Pesquisas Eldorado valoriza um ambiente diversificado e se orgulha de ser uma organização que oferece oportunidades de forma igualitária.
Todos que se candidatarem serão avaliados, independentemente de raça, deficiência, cor, religião, sexo, identidade ou expressão de gênero, orientação sexual, nacionalidade ou idade
