FOX
Senior ML Ops Engineer
FOX, Los Angeles, California, United States, 90079
OVERVIEW OF THE COMPANY
Fox Corporation: Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations, and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise, and strategic thinking.JOB DESCRIPTION
We are looking for a senior ML Ops Engineer to lead and enhance our machine learning operations, ensuring the efficient deployment and management of our ML models for our personalization and recommendations team. The ideal candidate will be instrumental in bridging the gap between machine learning development and production operations, optimizing the machine learning lifecycle from data preparation to model monitoring and retraining.A SNAPSHOT OF YOUR RESPONSIBILITIESLead the deployment, management, and operationalization of machine learning models in production environments.Foster collaboration between ML developers, data scientists, and DevOps engineers to facilitate the seamless integration of ML models into operational systems.Leverage expertise in cloud platforms (with a preference for AWS) and ML environments such as Databricks to build scalable and efficient ML workflows.Code proficiently in Python and utilize MLFlow for managing the ML lifecycle, including model tracking, deployment, and registry.Design, implement, and maintain automated pipelines for continuous integration and continuous delivery (CI/CD) of ML models.Employ advanced strategies for monitoring live services, including model performance tracking, model drift detection, and dynamic management of model retraining schedules.Contribute to system stability by ensuring thorough monitoring, high availability, and robustness of the ML operations infrastructure.Optimize ML systems for performance and cost, ensuring the use of best practices for version control and compliance with data privacy regulations.Drive innovation in ML Ops practices and encourage the adoption of new tools and technologies to stay at the forefront of the industry.Document ML operations processes and mentor team members on best practices in ML Ops.WHAT YOU WILL NEEDBachelor's or Master's degree in Computer Science or Computer Engineering.Professional experience in ML Ops, data engineering, or DevOps with a focus on machine learning systems.Demonstrable experience in deploying and managing ML models in a large-scale production environment.Proficiency in Python programming and experience with MLFlow or similar tools for managing the ML lifecycle.Strong experience with cloud services, preferably AWS, and familiarity with Databricks or similar platforms.Experience with CI/CD tools, containerization (e.g., Docker), and orchestration technologies (e.g., Kubernetes).Solid understanding of model monitoring techniques, including detecting and handling model drift.Comfortable working in fast-paced, innovative environments.Effective communication skills with the ability to collaborate cross-functionally.Prior leadership experience in managing ML projects or teams.Strong desire to keep up with the latest trends in AI/ML.NICE TO HAVE, BUT NOT A DEALBREAKERA passion for sports is a huge plus!#Ll-HybridLearn more about Fox Tech at
https://tech.fox.comWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.At FOX, we foster a culture and environment where everyone feels welcome and can thrive. We are deeply committed to diversity, equity, and inclusion, including attracting, retaining, and promoting diverse talent across our company. We live in a diverse world, with different ideas and different perspectives that come together to spark new ideas and make great things happen. That means reflecting the diversity of the world around us is critical to our company's success. We ensure that our viewers, communities and employees feel heard, represented, and celebrated both on screen and off.Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is: $140,000.00-187,500.00 annually for California. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.View more detail about FOX Benefits.
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Fox Corporation: Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations, and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise, and strategic thinking.JOB DESCRIPTION
We are looking for a senior ML Ops Engineer to lead and enhance our machine learning operations, ensuring the efficient deployment and management of our ML models for our personalization and recommendations team. The ideal candidate will be instrumental in bridging the gap between machine learning development and production operations, optimizing the machine learning lifecycle from data preparation to model monitoring and retraining.A SNAPSHOT OF YOUR RESPONSIBILITIESLead the deployment, management, and operationalization of machine learning models in production environments.Foster collaboration between ML developers, data scientists, and DevOps engineers to facilitate the seamless integration of ML models into operational systems.Leverage expertise in cloud platforms (with a preference for AWS) and ML environments such as Databricks to build scalable and efficient ML workflows.Code proficiently in Python and utilize MLFlow for managing the ML lifecycle, including model tracking, deployment, and registry.Design, implement, and maintain automated pipelines for continuous integration and continuous delivery (CI/CD) of ML models.Employ advanced strategies for monitoring live services, including model performance tracking, model drift detection, and dynamic management of model retraining schedules.Contribute to system stability by ensuring thorough monitoring, high availability, and robustness of the ML operations infrastructure.Optimize ML systems for performance and cost, ensuring the use of best practices for version control and compliance with data privacy regulations.Drive innovation in ML Ops practices and encourage the adoption of new tools and technologies to stay at the forefront of the industry.Document ML operations processes and mentor team members on best practices in ML Ops.WHAT YOU WILL NEEDBachelor's or Master's degree in Computer Science or Computer Engineering.Professional experience in ML Ops, data engineering, or DevOps with a focus on machine learning systems.Demonstrable experience in deploying and managing ML models in a large-scale production environment.Proficiency in Python programming and experience with MLFlow or similar tools for managing the ML lifecycle.Strong experience with cloud services, preferably AWS, and familiarity with Databricks or similar platforms.Experience with CI/CD tools, containerization (e.g., Docker), and orchestration technologies (e.g., Kubernetes).Solid understanding of model monitoring techniques, including detecting and handling model drift.Comfortable working in fast-paced, innovative environments.Effective communication skills with the ability to collaborate cross-functionally.Prior leadership experience in managing ML projects or teams.Strong desire to keep up with the latest trends in AI/ML.NICE TO HAVE, BUT NOT A DEALBREAKERA passion for sports is a huge plus!#Ll-HybridLearn more about Fox Tech at
https://tech.fox.comWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.At FOX, we foster a culture and environment where everyone feels welcome and can thrive. We are deeply committed to diversity, equity, and inclusion, including attracting, retaining, and promoting diverse talent across our company. We live in a diverse world, with different ideas and different perspectives that come together to spark new ideas and make great things happen. That means reflecting the diversity of the world around us is critical to our company's success. We ensure that our viewers, communities and employees feel heard, represented, and celebrated both on screen and off.Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is: $140,000.00-187,500.00 annually for California. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.View more detail about FOX Benefits.
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