Engenheiro MLOps Sênior AWS

Accountabilities:

• • Design, develop, validate, and maintain MLOps pipelines, automating processes and integrating them with AWS services.
  • Architect, implement, and continuously evolve cloud-based systems, ensuring technical solutions align with project objectives and scalability requirements.
  • Collaborate closely with Data Scientists to operationalize, deploy, monitor, and maintain machine learning models and applications.
  • Ensure the stability, maintenance, and continuous improvement of the n8n workflow automation platform.
  • Develop and integrate APIs and technical solutions that enable efficient communication between systems and services.
  • Design and implement web applications and LLM-based agents to support data science and AI initiatives.
  • Investigate and resolve technical incidents and support requests related to MLOps environments.
  • Identify opportunities for automation, optimization, reliability, and improved operational efficiency across cloud and AI workflows.
  • Contribute to technical decisions and recommend appropriate tools, architectures, and engineering practices.
  • Support monitoring, observability, performance, and reliability initiatives across production environments.

  Requirements:

  • Minimum of 3 years of professional experience working with AWS and MLOps.
  • Strong hands-on experience with Python and software development practices.
  • Proven experience designing, developing, and integrating APIs.
  • Solid knowledge of AWS services, cloud-native practices, and infrastructure architecture.
  • Experience designing and maintaining systems in cloud environments.
  • Practical understanding of Machine Learning concepts and the operationalization of ML models.
  • Analytical and proactive approach to diagnosing and solving complex technical problems.
  • Strong ability to collaborate with Data Scientists and other technical stakeholders.
  • Experience working independently in a fully remote environment.
  • Knowledge of Kubernetes and container orchestration is a strong advantage.
  • Familiarity with monitoring and observability tools such as Prometheus, Grafana, Datadog, or similar platforms is desirable.
  • Knowledge of FinOps principles and cloud cost management is considered a plus.
  • Front-end development knowledge is an additional advantage.

  Benefits:

  • 100% remote work.
  • Medical insurance with Porto Seguro, with coverage options for spouse and children.
  • Dental insurance with Porto Seguro.
  • Profit Sharing and Results Participation (PLR).
  • Childcare assistance.
  • Meal and food allowance through Alelo.
  • Home office allowance.
  • Partnerships with educational institutions, including discounts and incentives for courses and degrees.
  • Support and incentives for professional certifications, including cloud certifications in AWS, Azure, GCP, and other technologies.
  • Livelo points program.
  • TotalPass access with discounted fitness plans for employees and family members.
  • Mindself wellness and mindfulness program.
  • A collaborative environment focused on professional development, health, and quality of life.