What are the responsibilities and job description for the Machine Learning Deployment Specialist position at Entertainment Data Oracle (EDO)?
Company Overview
At Entertainment Data Oracle (EDO), we're revolutionizing the TV advertising landscape. By harnessing the power of machine learning and data science, we empower marketers to make informed decisions and drive impactful campaigns. With offices in Los Angeles, New York City, and San Francisco, we're a dynamic and collaborative team dedicated to innovation and excellence.
The Opportunity
We're seeking a talented Machine Learning Engineer to join our Data Science team. As a key member of this team, you'll play a crucial role in developing and maintaining our internal data and modeling products. Your expertise will help us stay ahead of the curve in the ever-evolving TV advertising space. Key Responsibilities:
Requirements
4-6 years of development experience3 years of Python experience writing clean, reusable code used by Data Scientists or deployed in production systems.Experience with MLOps, particularly with continuous model training and monitoring. Proficiency in SQL and relational databases, with experience interfacing with databases from Python.
At Entertainment Data Oracle (EDO), we're revolutionizing the TV advertising landscape. By harnessing the power of machine learning and data science, we empower marketers to make informed decisions and drive impactful campaigns. With offices in Los Angeles, New York City, and San Francisco, we're a dynamic and collaborative team dedicated to innovation and excellence.
The Opportunity
We're seeking a talented Machine Learning Engineer to join our Data Science team. As a key member of this team, you'll play a crucial role in developing and maintaining our internal data and modeling products. Your expertise will help us stay ahead of the curve in the ever-evolving TV advertising space. Key Responsibilities:
- Migrate our existing modeling frameworks to continuous training and monitoring.
- Collaborate with cross-functional teams to diagnose and resolve issues with legacy models and pipelines.
- Lead high-impact projects that drive significant business outcomes.
Requirements
4-6 years of development experience3 years of Python experience writing clean, reusable code used by Data Scientists or deployed in production systems.Experience with MLOps, particularly with continuous model training and monitoring. Proficiency in SQL and relational databases, with experience interfacing with databases from Python.
