Software Engineer/Mlops
Current- Leverage latest Databricks and MLFlow technologies to develop Machine Learning Framework for model lifecycle
- Migration of ML models and their supporting ETL from legacy platform to Databricks increasing testability, scalability, discoverability, observability and monitoring
- Productionize models on the Unified Data Platform ensuring best practices for model-based services
- Utilize infrastructure as code deployed through CICD to create resources that support microservices and data products
- Spearheading efforts for the Unified Data Platform and developing standards and solutions for migration of data products to Databricks
- Ownership of legacy ETL supporting operations and analytics