Senior AI ML Developer
About the Position
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.
About the Project
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.
About the Team
You will collaborate with cross functional teams that include Software Engineering, Data, MLOps, and DevOps specialists. The team works closely across squads to deliver AI products, share platform capabilities, and maintain strong engineering standards.
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
Technologies
GCP, AWS, Azure, Terraform, Python, APIs, Airflow, MLflow, CI/CD, Docker
