**Who this is for** This role is for a detail-oriented MLOps Engineer who enjoys bridging the gap between data science and production infrastructure, ensuring m
Work type: remote
Location: Los Angeles, California, USA
Salary: $146,680 – $161,348/yr
Type: Full-time
**Who this is for** This role is for a detail-oriented MLOps Engineer who enjoys bridging the gap between data science and production infrastructure, ensuring machine learning models are scalable and reliable within a large media environment. **Key highlights** You will work within the Fox Data Engineering team to deploy, monitor, and optimize ML pipelines. This position offers the flexibility of full-time remote work while supporting high-impact initiatives across diverse brands like Fox Sports and Fox News. **You might be a good fit if you...** - Possess a Master’s degree and at least two years of experience in MLOps/DevOps environments. - Have hands-on experience with ML frameworks like TensorFlow or PyTorch and cloud services like AWS SageMaker. - Are proficient in managing containerized workloads using Docker and Kubernetes. - Demonstrate expertise in building automated CI/CD pipelines to ensure reproducible model deployments.
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
Job Duties:
As part of the Data Engineering team, Fox Cable Network Services, LLC seeks a Data Scientist (MLOps Engineer) to focus on deploying, managing, and scaling machine learning models within Fox’s AWS and Databricks environments. Play a crucial role in ensuring Fox’s ML (machine learning) models are deployed reliably, maintained efficiently, and deliver value across the organization. Work effectively with multiple internal stakeholders across diverse groups such as Fox Sports, Fox News Media, Fox Entertainment, and Fox Television Stations to support a wide array of Data Science and Data Engineering initiatives. Specific duties include: 1) Design, implement, and maintain robust, scalable ML pipelines for the production and deployment of machine learning models. 2) Collaborate closely with other data scientists, data engineers, and DevOps to ensure seamless integration and performance of models in AWS and Databricks environments. 3) Build automated workflows for model deployment, monitoring, and retraining, ensuring high availability and reliability. 4) Develop processes for tracking, logging, and versioning of models to support reproducibility and auditability. 5) Implement monitoring solutions to track model performance and data drift, providing insights to maintain and improve model quality over time. 6) Troubleshoot, debug, and optimize ML pipelines to improve efficiency and reduce latency. 7) Stay updated with the latest advancements in MLOps tools and practices, ensuring that Fox infrastructure remains cutting-edge and future-ready. Telecommuting permitted from any location in the U.S.
Job Requirements:
Requires a Master’s degree in Data Science, Computer Science, Information Technology, Engineering or related field, plus two (2) years of experience in data science or related experience in MLOps/DevOps, including experience deploying and maintaining ML models in production; and building CI/CD pipelines for ML models using tools such as Git and Jenkins.
Specific skills: Also requires experience or knowledge in the following: 1) Experience in ML frameworks such as TensorFlow, PyTorch and scikit-learn; 2) Experience in SQL, Python, Docker, and Kubernetes; 3) Knowledge of monitoring and logging tools used to track model performance and data quality such as Prometheus, Grafana and CloudWatch; 4) Experience with A/B testing and experiment design; 5) Experience with product analytics and working with event-level data; and 6) Experience in Databricks and AWS services such as S3, EC2, SageMaker and Lambda
Any level of experience or knowledge in the specific skills is acceptable.
Telecommuting permitted from any location in the U.S.
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