Position: Python Engineer (ML project)
Company: Waverley Software
Experience required: 5y
English level: intermediate

The product is the real-time solution for staying on top of product quality across all platforms, languages, and regions. 

With the leading AI technology, our client has built the fastest and smartest product quality monitoring platform to help businesses stay on top of product quality across platforms, languages, and regions. 

The Engineer will be responsible for building an outgrowing data warehouse, working closely with data scientists on cutting-edge NLP projects to build tooling and production infrastructure that will both deploy and train memory-intensive deep learning models. The ideal candidate has experience managing large ETL pipelines and data orchestration jobs, familiarity with machine learning topics and ML ops, and the ability to write clean/testable python. 

Responsibilities: 

- Building out data warehouse and continuing data orchestration efforts 
- Automating machine learning model training & evaluation pipelines 
- Defining and building analytics dashboards related to model evaluation and business processes 
- Developing production Python services to assist in data cleaning and collection of production artifacts 

Requirements: 

- 5+ years of engineering experience
- Strong Python & SQL background
- Working experience with data pipelines, data orchestration tools, and dashboarding technologies
- Good at working on the production REST services
- Practical experience developing and deploying software in a dockerized cloud production environment (AWS or GCP preferred)
- At least Intermediate English (verbal and written)

Will be a plus: 

- BigQuery experience (creating business dashboards and such)
- Elastic search experience 
- Masters degree in computer science 
- Hands-on machine learning background 
- Java experience