What are the responsibilities and job description for the Cloud-Based Model Architect position at Entertainment Data Oracle (EDO)?
Our Mission
At Entertainment Data Oracle (EDO), we're driven by a passion for innovation and a commitment to excellence. Our mission is to empower marketers with actionable insights and data-driven solutions, helping them to succeed in the ever-evolving TV advertising landscape. With offices in Los Angeles, New York City, and San Francisco, we're a collaborative and dynamic team dedicated to making a meaningful impact. The Role:
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 TV advertising space. What You'll Do:
At Entertainment Data Oracle (EDO), we're driven by a passion for innovation and a commitment to excellence. Our mission is to empower marketers with actionable insights and data-driven solutions, helping them to succeed in the ever-evolving TV advertising landscape. With offices in Los Angeles, New York City, and San Francisco, we're a collaborative and dynamic team dedicated to making a meaningful impact. The Role:
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 TV advertising space. What You'll Do:
- 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.
- 4-6 years of overall development experience.
- 3 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.
