Design, prototype and productionize scalable AI/machine learning models
Play a critical in setting up the best practices in machine learning, setting direction of 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
Work with product managers and business partners to gather requirements for machine learning models
Build model deployment platform that can simplify implementing new models
Build end-to-end reusable pipelines from data acquisition to model output delivery
Mentor and guide junior data scientists to deploy their models into production
Design & Build ML (engineering) solutions that unlock new ML modeling capabilities for BetterHelp

3+ years of experience in machine learning platform systems
Experience with autoscaling, and autoscaling such as load balancing
Solid understanding of distributed computing and proven experience with them
Superb written and oral communication skills
Experience integrating ai/machine learning models in production
Strong background in shell or bash scripting
Experience building CICD pipelines
Experience with infrastructure as service tools such as terrafrom, cloud formation
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 object oriented programming, data structures, and algorithms
Experience in writing data pipeline and machine learning libraries and utilities
Willingness to learn new technologies
Willingness to mentor junior ml engineers and data scientists
Comfortable in a high-growth, fast-paced and agile environment

Staff ML/AI Platform Engineer

Key skills