Senior AI ML Developer

Project overview: 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.

Position overview: 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.

Technology stack: GCP, AWS, Azure, Terraform, Python, APIs, Airflow, MLflow, CI/CD, Docker

Responsibilities: 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

Requirements: 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

Nice to have: Experience with observability, incident response, or platform operations