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Machine Learning Ops/Devops Engineer
Posted on 8/25/2022
INACTIVE
Locations
Mountain View, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Bash
BigQuery
Data Science
Development Operations (DevOps)
Docker
Jenkins
Git
Redshift
Snowflake
SQL
Terraform
Python
Requirements
  • BS in Computer Science, Engineering, Mathematics, or related technical field
  • 3+ years of relevant work experience in Machine Learning, DevOps, or Data Engineering
  • Fluent in Python, SQL, and Shell/Bash scripting
  • Proficiency with deploying models via AWS SageMaker or MLFlow
  • Experience in AWS and its core offerings (EC2, RDS, S3, Lambda, Gateway API, etc)
  • Experience in CI/CD pipeline implementation and tools like GitHub (including Workflows and Actions), Terraform, Docker, Jenkins, Blue Ocean, Circle CI
  • Experience with columnar databases like Snowflake, Redshift, or BigQuery and ETL/ELT tools like Fivetran, Stitch, dbt, Airflow, etc
Responsibilities
  • Continuously improve our data infrastructure to make it more stable, scalable, observable and secure
  • Support services running in production (we are looking for true owners)
  • Work on design and implementation of the new MLOps architecture
  • Work closely with the data science, product, and engineering terms to develop and deploy advanced ML models
  • Collaborate with the Data Warehouse and BI team to assist them in automation of their processes
  • Develop our internal tooling library used by the data team
  • Review and manage user access as well as create documentation to help the team follow the best practices
Trip Actions

1,001-5,000 employees

Travel & expense management solution
Benefits
  • Flexible vacation
  • Healthcare: medical, dental, & visiion for you and your family
  • Commuter benefits
  • Parental leave
  • Health & wellness stipend
  • Pet friendly
  • 401k
  • IATAN: travel related discounts
  • Connectivity Allowance
  • Learning & development allowance
Company Core Values
  • Focus on Users
  • Tech-Forward Solutions
  • Lead with Context
  • Communicate with Candor
  • Raise the Bar
  • One Diverse Team