Help customers build their Recommendations System.
Requirements
- Building production level code using Python involving OOP concepts
- Building Pipelines (any of the following Vertex AI, Kubeflow, Cloud Composer)
- Google Cloud Platform experience across BigQuery, BigTable, Dataflow
- Strong understanding of databases both RDBMS and NoSQL (json structures)
- Strong understanding of Neural Networks driven development
- Prior ML code production deployment experience using TensorFlow/PyTorch
- General ML Concepts, Evaluation Metrics, and Embeddings knowledge
Responsibilities
- Building cutting-edge Neural Networks Model that generates similar product recommendations using customer activity, product data and other related information.
- Designing and developing production pipelines that run these models training and serving.
- Building offline evaluation frameworks to test and validate the models.
- Working on end-to-end architecture operationalizing this system.
- Simplifying the technical concepts and able to interact with business stakeholders
- Comfortable to prepare and showcase PowerPoint presentations to both technical and non-technical audience
- Able to work in 2-week sprints as part of a team and adhering to JIRA project management practices
Other
- Simplifying the technical concepts and able to interact with business stakeholders
- Comfortable to prepare and showcase PowerPoint presentations to both technical and non-technical audience
- Able to work in 2-week sprints as part of a team and adhering to JIRA project management practices
- Be available to address any questions/clarifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
