Engenheiro MLOps Sênior AWS

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro MLOps Sênior AWS based in Brazil.

This is a fully remote opportunity for a Senior MLOps Engineer to help build, operate, and evolve machine learning solutions in AWS <environments.You> will work closely with Data Science teams to turn models and AI applications into reliable, scalable, production-ready solutions.The role combines MLOps, cloud architecture, software engineering, automation, and emerging LLM <technologies.You> will design and maintain automated pipelines while ensuring the stability, performance, and evolution of cloud-based <systems.You> will also contribute to the development of APIs, web applications, and LLM-powered agents that support data and AI initiatives.The position offers an opportunity to solve complex technical challenges in a collaborative, innovation-driven environment.If you are proactive, analytical, and passionate about cloud, AI, and automation, this role offers meaningful opportunities to make an impact.

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.