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Machine Learning Ops Engineer
Posted on 11/19/2021
INACTIVE
Locations
San Francisco, CA, USA • Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Data Analysis
Data Science
Docker
Google Cloud Platform
Java
Management
Kubernetes
Python
Requirements
  • 2+ years of professional software development experience or a degree in CS (or a related field) with 1+ years of experience
  • Experience solving problems with production systems, and building solutions and automations to prevent them from reoccurring
  • Experience with programming languages such as Java and Python
  • Proven experience with automation and knowledge of configuration management tools
  • Experience with workflow management tools such as Apache Airflow
  • Experience with Relational and Non-relational databases
  • Strong debugging, testing, tuning, and problem-solving skills
  • Strong communication & collaboration skills, and a belief that team output is more important than individual output
  • Self-starter, with a quick learning curve
Responsibilities
  • Champion the model release process by improving existing systems and building tools to make the release of new machine learning models fast, easy, safe, and minimally disruptive
  • Implement easily maintainable data processing pipelines
  • Motivate, listen and empathize, and help engineers and data scientists to excel
Desired Qualifications
  • Experience working with data processing technologies for batch processing, such as Apache Spark and MapReduce
  • Practical knowledge of how to build end-to-end ML workflows
  • Knowledge of GCP or AWS cloud stack for web services and big data processing
  • Familiarity with Docker and container clustering technologies like Kubernetes, GKE or AWS ECS
Sift

201-500 employees

Fraud prevention platform
Company Overview
Sift aims to help everyone trust the internet
Company Core Values
  • Connect the dots
  • Trust and Safety for All
  • Get Sift Done