Senior MLOps Engineer, AWS
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Job Description
Engenheiro MLOps AWS operacionalizando modelos de machine learning e LLMs na Leega. Desenvolvendo pipelines, arquitetura cloud e integrações para apoiar Ciência de Dados.
Responsibilities:
- Work as an MLOps Engineer in an AWS cloud environment
- Collaborate with the Data Science team to ensure the efficient operationalization of models and applications
- Support the n8n workflow automation platform
- Develop, validate, and maintain MLOps pipelines
- Automate processes and integrate pipelines with AWS services
- Design and maintain systems architecture aligned with project objectives
- Ensure the ongoing support and evolution of the n8n platform
- Work with data scientists to operationalize machine learning models
- Resolve tickets related to the MLOps team
- Propose and develop technical solutions, such as web applications, APIs, and LLM-based agents, to support the Data Science function
Requirements:
- Strong experience in Python development
- Experience building and integrating APIs
- Advanced knowledge of core AWS services and best practices
- Experience designing systems architecture in cloud environments
- Analytical and proactive approach to solving technical problems
- Knowledge of container orchestration with Kubernetes
- Familiarity with monitoring and observability tools such as Prometheus, Grafana, and Datadog
- Understanding of FinOps and cloud cost management
- Knowledge of front-end development
Benefits:
- Porto Seguro health insurance, with the option to add a spouse and children
- Porto Seguro dental insurance for employees and dependents
- Profit Sharing and Results Bonus (PLR)
- Childcare assistance
- Alelo meal and food vouchers
- Home office allowance
- Partnerships with educational institutions, offering discounts and incentives for courses and degree programs
- Certification incentives, including cloud certifications (GCP, Azure, AWS, and others)
- Livelo points
- TotalPass, with discounted gym plans for employees and family members
- Mindself, with incentives for meditation and mindfulness
- Ongoing professional development
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