Staff ML/AI Platform Engineer

New
B
BetterHelpMental Health Tech
We operate on PST and candidates in any time zone are welcome to apply., PSTFull-TimeStaff
Salary$200,000 - $245,000
Apply NowOpens the employer's application page

Job Details

Experience
3+ years of experience in machine learning platform systems
Required Skills
AWSDockerMachine LearningAirflowAlgorithmsData engineeringCI/CDTerraform

Requirements

  • 3+ years of experience in machine learning platform systems
  • Experience with autoscaling and load balancing
  • Solid understanding of distributed computing
  • Experience integrating AI/machine learning models in production
  • Strong background in shell or bash scripting
  • Experience building CI/CD pipelines
  • Experience with infrastructure as code tools such as Terraform or CloudFormation
  • Experience working with AWS Lambda, ECS, ECR, Sagemaker or other cloud-based platforms
  • Prior experience in production deployments on AWS Lambda, Fargate, EMR, or Airflow
  • Experience with development environment and deployments using Docker
  • Strong knowledge of computer science fundamentals including OOP, data structures, and algorithms
  • Experience writing data pipeline and machine learning libraries and utilities

Responsibilities

  • Design, prototype and productionize scalable AI/machine learning models
  • Establish best practices and direction for the machine learning platform
  • Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks
  • Partner with ML engineers and data scientists to troubleshoot and optimize complex ML pipelines
  • Build model deployment platform that simplifies implementing new models
  • Build end-to-end reusable pipelines from data acquisition to model output delivery
  • Mentor and guide junior data scientists to deploy models into production
  • Design and build ML engineering solutions that unlock new ML modeling capabilities
View Full Description & ApplyYou'll be redirected to the employer's site
$200,000 - $245,000
Apply Now