Senior MLOps Engineer, AWS

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Serve as an MLOps Engineer within an AWS cloud setting.

• Collaborate closely with the Data Science team to facilitate the effective operationalization of models and applications.

• Provide support for the n8n workflow automation platform.

• Create, validate, and sustain MLOps pipelines.

• Automate workflows and integrate pipelines with AWS services.

• Design and uphold systems architecture that aligns with project goals.

• Ensure continuous support and development of the n8n platform.

• Collaborate with data scientists to operationalize machine learning models.

• Address tickets associated with the MLOps team.

• Suggest and develop technical solutions, including web applications, APIs, and LLM-based agents, to bolster the Data Science function.

⛳️ Requirements

• Proficient experience in Python programming.

• Experience in building and integrating APIs.

• In-depth knowledge of essential AWS services and best practices.

• Experience in designing systems architecture within cloud environments.

• Analytical and proactive mindset for addressing technical challenges.

• Familiarity with container orchestration using Kubernetes.

• Knowledge of monitoring and observability tools like Prometheus, Grafana, and Datadog.

• Understanding of FinOps and cloud cost management principles.

• Knowledge in front-end development.

🏝️ Benefits

• Porto Seguro health insurance, with the option to include a spouse and children.

• Porto Seguro dental insurance available for employees and their dependents.

• Profit Sharing and Results Bonus (PLR).

• Childcare assistance.

• Alelo meal and food vouchers.

• Home office allowance.

• Collaborations with educational institutions, providing discounts and incentives for courses and degree programs.

• Certification incentives, including cloud certifications (GCP, Azure, AWS, and others).

• Livelo points.

• TotalPass, offering discounted gym memberships for employees and their family members.

• Mindself, providing incentives for meditation and mindfulness practices.

• Continuous professional development opportunities.