Description
You will design, develop, and maintain ML pipelines to support production machine learning workflows.
Responsibilities
- Build and maintain scalable MLOps pipelines on Databricks.
- Integrate machine learning workflows with Azure services.
- Deploy and optimize ranking models in production environments.
- Automate CI/CD processes for machine learning deployment and iteration.
- Monitor model performance using A/B testing and versioning management.
Required Skills
- 5+ years of experience in machine learning operations or related roles.
- Hands-on experience with Databricks and Azure services.
- Proficiency in building and maintaining CI/CD pipelines for ML.
- Deep expertise in Elasticsearch and search ranking optimization.
- Experience implementing Learning to Rank (LTR) models in Elasticsearch.
- Practical use of MLflow for experiment tracking and model registry.
- Solid understanding of A/B testing and model versioning strategies.
Preferred Skills
- Degree in any field of study.