What are the responsibilities and job description for the Staff Machine Learning Operations Expert position at SiriusXM?
About SiriusXM
SiriusXM is a pioneering audio entertainment company that delivers cutting-edge subscription and digital advertising-supported audio products to millions of listeners. Our commitment to innovation drives us to continually enhance our services and push the boundaries of what is possible in the industry.
Data Driven Strategies
As a Staff ML Ops Engineer, you will play a crucial role in developing and implementing data-driven strategies that drive business growth and improve customer experiences. You will lead the deployment of machine learning models into production, ensuring seamless integration with existing systems and optimal performance.
Technical Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 7 years' experience in ML Ops, data engineering, or a similar role.
- Deep knowledge of ML models and algorithms.
- Expertise in Databricks, MLFlow, and other relevant ML tools and frameworks.
- Proficiency in programming languages such as Python, Scala, or Java.
- Strong experience with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes).
Benefits
We offer an excellent compensation package, including discretionary short-term and long-term incentives, as well as opportunities for professional growth and development.
