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