Principal Data Engineer, Machine Learning Infrastructure

Company: Protingent
Location: San Francisco, California, United States
Type: Full-time
Posted: 27.MAY.2021
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Summary

Position Title: Principal Data Engineer, Machine Learning Position Description: Protingent has an exciting direct hire opportunity with our...

Description

Position Title: Principal Data Engineer, Machine Learning

Position Description: Protingent has an exciting direct hire opportunity with our client in San Francisco, California.

Job Requirements:

Creating high quality, scalable, ML infrastructure to enable our ML engineers to quickly train, predict and deploy their ML Models.
Improving ML workflows and designing the next-generation data platform for automating ML.
This is initially a hands on, tech lead position with the potential to build out a team in the future.

Job Qualifications:

Master' s or Bachelor' s degree from an accredited university, or equivalent work experience
7+ years of a proven track record in a data engineering or related role.
Ability to take ownership of larger, loosely defined, greenfield architecture projects.
A passion for shipping high quality code and building scalable data architecture.
Hands on experience with Machine Learning workflows (feature extraction, model training, parameter tuning, model tracking, etc)
Strong knowledge of Spark, SQL, and cloud storage (e.g., S3).
Strong software engineering experience in a JVM language (Scala preferred)
Prior devops experience with Kubernetes, Docker, and scripting languages such as Python helpful
Prior experience with Spark Streaming using Kafka or Kinesis also a plus.

About Protingent: Protingent is a niche provider of top Engineering and IT talent to Software, Electronics, Medical Device, Telecom, and Aerospace companies nationwide. Protingent exists to make a positive impact and contribution to the lives of others as well as our community by providing relevant, rewarding, and exciting work opportunities for our candidates.

 
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