We are looking for a Middle ML AI Developer with strong Python, cloud, and infrastructure experience to design, build, and operationalize GenAI based solutions. In this role, you will contribute to AI products, support platform adoption, and help improve delivery through engineering best practices.
AI Platform is focused on expanding a modern AI portfolio through GenAI based solutions and shared platform capabilities. You will contribute to building scalable AI products, supporting domain teams, and improving the adoption of platform standards across squads.
Develop data products and AI and GenAI solutions within domain teams
Facilitate adoption of the Data and AI Platform across squads
Build, deploy, and operate GenAI and ML models in production ready environments
Manage infrastructure for environments and AI and ML products with focus on observability, performance, and reliability
Contribute to CI/CD pipelines, infrastructure as code practices, and platform automation




Collaborate with Software Engineering, data, MLOps, and DevOps teams to maintain engineering standards
Support experimentation frameworks and internal tools for GenAI model development and evaluation
Experience with GCP or a similar cloud provider such as AWS or Azure
Experience with Terraform or other infrastructure as code tools
Strong knowledge of Python
Backend engineering experience with APIs and services
Experience with GenAI or ML and MLOps practices including Airflow, MLflow, pipelines, or monitoring
Solid understanding of CI/CD, Docker, and software engineering best practices
Familiarity with model deployment, model serving, and operating ML and AI systems in production
Experience with observability, incident response, or platform operations

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📌 Senior AI ML Developer (Ejido de la Finca)
🏢 DataArt
📍 Ejido de la Finca