Backend ML Engineer | MLOps, TS & Docker Expert
Summary
Build and deploy ML models and MLOps pipelines using TypeScript, Docker, and databases like PostgreSQL/PostGIS and DynamoDB.
Qualifications
- Proficiency in working with various databases such as PostgreSQL/PostGIS, DynamoDB, etc.
- Exposure to infrastructure-as-code tools like Terraform or containerization technologies such as Docker.
- Familiarity with Typescript to understand and work with existing codebases.
- Interest in aspects of machine learning operations (MLOps), integrating models, and developing data-driven products.
Additional Notes
What The...