Staff ML/AI Platform Engineer

3+ years of experience in machine learning platform systems Experience with autoscaling and load balancing Solid understanding of distributed computing and proven experience with them Superb written and oral communication skills Experience integrating AI/ML models in production Strong background in shell or bash scripting Experience building CI/CD pipelines Experience with infrastructure as code tools (e.g., Terraform, 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 environments and deployments using Docker Strong knowledge of computer science fundamentals (object-oriented programming, data structures, 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 Set best practices and direction for the machine learning platform Develop frameworks, pipelines, libraries, utilities, and tools for ML tasks Partner with ML engineers and data scientists to troubleshoot and optimize ML pipelines Gather requirements for ML models from product managers and business partners Build a model deployment platform to simplify new model implementation Build end-to-end reusable pipelines from data acquisition to model output Mentor and guide junior data scientists on model deployment Design and build ML engineering solutions for new ML modeling capabilities