Pandora Jewelry - Lawrence Township, NJ
posted 3 months ago
As a Staff Machine Learning Ops Engineer at SiriusXM, you will play a crucial role in our Data Platform Team, focusing on deploying, managing, and optimizing machine learning (ML) models. Your expertise will be essential in leveraging advanced tools such as Databricks and MLFlow to ensure the scalability and effectiveness of our ML initiatives. This position is pivotal in contributing to our data-driven strategies and enhancing our audio services, which are at the forefront of the audio entertainment industry. In this role, you will lead the deployment of ML models into production, ensuring high performance and seamless integration with existing systems. You will continuously monitor and maintain the health of these models, optimizing them for efficiency and effectiveness. Your responsibilities will also include designing and implementing automated ML pipelines for model training, evaluation, and deployment, utilizing Databricks and MLFlow. Collaboration is key, as you will work closely with data scientists, engineers, and other stakeholders, providing ML Ops expertise and support. You will spearhead the adoption of industry best practices in ML operations, focusing on critical areas such as version control, data governance, and resource optimization. Staying ahead of the curve is vital; therefore, you will be expected to research and implement emerging technologies and methodologies in the ML Ops field. Additionally, you will identify and resolve complex issues related to ML model performance, deployment, and operational workflows, ensuring that our audio services remain top-notch and innovative.