| Job title | Data Engineer/Machine Learning Engineers |
| Location | Remote |
| Industry: | |
| Reference: | 5026 |
| Contact name: | Sean Urbain |
| City: | Remote |
| Contact email: | sean.urbain@signify-tech.com |
| Published: | January 20, 2023 6:57 |
Job Description
Our newest client is a startup working on a state of the art data platform that is already being used by many fortune 500 companies.This company is currently in growth phase, looking to scale out the foundations of their data and machine learning engineering teams. These positions are highly coveted and are attracting some of the most talented engineers from FAANG companies as it will give you the opportunity to lead projects end-to-end, and get in on the ground floor of a rapidly growing business with a ton of backing.The ideal engineer for these positions would have:Data:- 5+ years working with Spark in production setting, ideally with Scala or Python.
- Experience leading Spark projects end-to-end and strong abilities beyond setting up an ETL pipeline.
- Experience being client facing and openness to continue doing so.
- BS in Mathematics or similar field. MS or PhD is great to have.
- 6+ years working in machine learning roles, having led product life cycles from end-to-end.
- 3+ years building products with NLP or Sequence Modeling.
- Experience with building Knowledge Graphs. Experience with Neo4j or similar tech highly preferred.
- 3+ years of using Spark in a production setting.
- Experience building architecture systems for real-time machine learning products.
- Nice to haves: Experience with AI technologies, experience building compilers