Senior Machine Learning Operations Engineer

2 weeks ago

Irving, Texas, United States SiriusXM Radio Full time
About SiriusXM Radio

SiriusXM Radio is a leading audio entertainment company in North America, providing a wide range of music, sports, talk, news, comedy, and podcasts to its listeners. With a diverse group of emerging talent and legends, SiriusXM aims to shape the future of audio, where everyone can be effortlessly connected to the voices, stories, and music they love.

Job Description

We are seeking a highly skilled Senior Machine Learning Operations Engineer to join our Data Platform Team. As a key player in our team, you will be responsible for deploying, managing, and optimizing machine learning models, leveraging advanced tools like Databricks and MLFlow. Your role will be pivotal in ensuring the scalability and effectiveness of our ML initiatives, contributing significantly to our data-driven strategies and the continual enhancement of our audio services.

Key Responsibilities
  • Lead the deployment of ML models into production using Databricks and MLFlow, ensuring high performance and integration with existing systems.
  • Continuously monitor and maintain the health of ML models, optimizing them for efficiency and effectiveness.
  • Design and implement automated ML pipelines for model training, evaluation, and deployment, utilizing Databricks and MLFlow.
  • Work closely with data scientists, engineers, and other stakeholders, providing ML Ops expertise and support.
  • Spearhead the adoption of industry best practices in ML operations, focusing on areas like version control, data governance, and resource optimization.
  • Stay ahead of the curve by researching and implementing emerging technologies and methodologies in the ML Ops field.
  • Identify and resolve complex issues in ML model performance, deployment, and operational workflows.
Requirements
  • Bachelor's or master's degree in Computer Science, Engineering, or a related field.
  • 5+ 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).
  • Excellent analytical, problem-solving, and communication skills.
What We Offer

We offer a competitive salary range of $135,000 to $209,500, depending on your skills, qualifications, and experience. Additionally, this role might be eligible for discretionary short-term and long-term incentives. We encourage all interested candidates to apply.

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