AI Engineer
abbott
Job Description
- undefined
- Standardize, curate, and extract deep insights from complex clinical datasets
- Design, develop, and deploy scalable AI, ML, and GenAI applications on the Databricks platform.
- Automate repetitive business processes, analytics workflows, reporting, and operational tasks using notebooks, workflows, jobs, and AI agents.
- Build and operationalize machine learning and Generative AI solutions using MLflow, Model Serving, Mosaic AI, and MLOps best practices.
- Design scalable and maintainable solution architectures integrating Databricks with enterprise data sources and business applications.
- Develop reusable APIs, libraries, notebooks, and frameworks to accelerate AI solution development.
- Optimize AI applications for performance, scalability, reliability, and infrastructure cost.
- Build and maintain robust data pipelines, orchestration workflows, and deployment pipelines within the Databricks ecosystem.
- Monitor production of AI applications, models, and workflows to ensure reliability, governance, security, and compliance.
- Evaluate and adopt emerging AI capabilities within the Databricks ecosystem to improve productivity and business value.
- Collaborate with Data Scientists, Data Engineers, Product Owners, and business stakeholders to deliver end-to-end AI products.
- Drive AI engineering with best practices, code quality, testing, documentation, and reusable solution patterns.