Yieldmo
Yieldmo is an advertising technology company that operates a smart exchange that differentiates and enhances the value of ad inventory for buyers and sellers$1. .$1
51 - 200
VP, Machine Learning Operations
September 7
🏢 In-office - Manhattan
Airflow
Apache
AWS
Cloud
ETL
Google Cloud Platform
Hadoop
Java
Kafka
MySQL
Python
PyTorch
Scikit-Learn
Spark
SQL
Tensorflow
Go
Yieldmo
Yieldmo is an advertising technology company that operates a smart exchange that differentiates and enhances the value of ad inventory for buyers and sellers$1. .$1
51 - 200
Description
• Architect, deploy, and manage a software framework to securely handle ML models in production-grade environments • Facilitate seamless integration of ML models into operational pipelines between engineering and data science • Design, implement and maintain scalable, efficient ML pipelines on AWS and GCP • Design, implement, and maintain CI/CD pipelines to automate the continuous integration and delivery of ML models • Monitor performance of ML models and implement improvements • Ensure high availability and fault tolerance of the ML infrastructure • Optimize the performance and cost-efficiency of ML systems • Maintain and champion ML ops best practices • Manage team of data / ML ops engineers • Recruit, mentor and grow machine learning engineering team • Contribute to and evolve our current data science initiatives around (cookieless targeting, format optimization, creative optimization, throttling, margin management)
Requirements
• 10+ years of experience with AWS or GCP. • 10+ years of experience in software development with Python focused on ETL, ETL and pipeline work • 10+ years of experience working with large datasets (working with raw logs in the order of 200 - 250TB a day. Comfortable working with databases with tables ranging from 100's of billion to trillions of rows.) • 5+ years of experience working with data science technologies such as (Python, R, SQL, TensorFlow, PyTorch, scikit-learn, and Spark) as a data scientist • 5+ years with predictive analytics and developing optimization algorithms • 5+ years doing machine learning with high dimensionality • Experience working with Airflow • Expert level understanding of SQL in Snowflake and MySQL environments • Experience with Hadoop, Apache Hive, Apache Kafka, AWS (SageMaker), Google Cloud (BigQuery, Vertex AI) • MS or equivalent combination of education and experience • Ad tech experience (SSPs, DSPs, Analytics, DMPs, CDPs)
Benefits
• Home office setup stipend • 1 Mental Escape (ME) days each month • Learning stipend and professional development opportunities • Work life balance, flexible PTO and competitive compensation packages
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