Machine Learning Engineer 2
- Real-Time Recommendation System
- Developed a recommendation platform using FastApi, delivering real-time recommendations with response time under 500ms. Scaled the platform efficiently using Docker and EC2 services.
- Designed and implemented robust ETL pipelines with AWS Glue for seamless data ingestion into S3 Data Lake.
- Developed and automated end-to-end ML pipelines for feature engineering, model training, logging and deployment leveraging Airflow, Docker, and MLflow.
- Developed a real-time feature store utilizing website streaming data and Redis as a vectordatabase to support real-time inference.
- Engineered product recommendation models using Deep Learning, NLP resulting in a 10%increase in website engagement.