Responsibilities
- Use data to address business challenges across different departments
- Create, implement, and maintain scalable artificial intelligence and machine learning systems
- Develop AI/ML pipelines using industry best practices in MLOps, LLMOps, and AgentOps
- Construct engineering infrastructure to manage both batch and real-time AI/ML workflows
- Conduct extensive experiments to validate performance and reliability of machine learning systems
- Collaborate with data scientists and software engineers to integrate models into user-facing applications and downstream services
- Utilize Python, MLflow, Azure platforms, and Databricks to build and deliver complete AI solutions
