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.

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.

Senior MLOps Engineer – AWS

Key skills