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Leega logo
Leega

Inteligência, Inovação e Tecnologia.

Senior MLOps Engineer – AWS

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 201-500Since 2010H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

55 days ago

Salary

0

Seniority

Senior

Job Description

Senior MLOps Engineer – AWS

Leega

• Develop, validate, and maintain MLOps pipelines, ensuring process automation and integration with AWS services. • Design and maintain system architecture, ensuring alignment with project objectives. • Ensure the maintenance and evolution of the n8n automation tool. • Work collaboratively with data scientists to operationalize machine learning models. • Resolve tickets and support requests related to the MLOps team. • Propose and develop technical solutions (such as web applications, APIs, and LLM-based agents) to support the Data Science team.

Job Requirements

  • Strong experience in Python development.
  • Experience building and integrating APIs.
  • Proficiency with core AWS services and best practices.
  • Experience designing system architectures in cloud environments.
  • Analytical and proactive approach to solving technical problems.
  • Knowledge of container orchestration with Kubernetes.
  • Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog).
  • Basic knowledge of FinOps and cost management in cloud environments.
  • Experience with front-end development.

Benefits

  • 🏥 Porto Seguro Health Insurance
  • 🦷 Porto Seguro Dental Plan
  • 💰 Profit-Sharing (PLR)
  • 👶 Childcare Allowance
  • 🍽️ Alelo Meal and Food Vouchers
  • 💻 Home Office Allowance
  • 📚 Partnerships with Educational Institutions
  • 🚀 Support for Certifications, including Cloud
  • 🎁 Livelo Points
  • 🏋️‍♂️ TotalPass
  • 🧘‍♂️ Mindself

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