Staff ML/AI Platform Engineer

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

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