MLOps Engineer

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

Fox Corporation’s Data Engineering team is seeking a talented MLOps Engineer to join our forward-thinking and innovative Tech team. This role will focus on deploying, managing, and scaling machine learning models within our AWS and Databricks environments. As an MLOps Engineer, you will play a crucial role in ensuring our ML models are deployed reliably, maintained efficiently, and deliver value across the organization.

We are looking for a collaborative professional who can 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. Key responsibilities will include developing robust infrastructure as code (IAC) utilizing both Terraform and CloudFormation as well as creating and maintaining GitHub Actions to streamline CI/CD workflows.

The ideal candidate for this role will bring a strong foundation in Data Science and Data Engineering with solid programming skills in Python. Hands-on proficiency with AWS services, such as S3, EC2, ECS, Sage Maker, Lambda, API Gateway, SQS, and SNS are essential. Experience in Docker, including building and deploying containers is required to meet our infrastructure and deployment needs. While not mandatory, additional skills that will enhance your fit for this role include familiarity with Bash scripting, experience with serverless architectures like Lambda, exposure to GCP, and Linux OS administration capabilities.

A SNAPSHOT OF YOUR RESPONSIBILITIES

• Design, implement, and maintain robust, scalable ML pipelines for the production and deployment of machine learning models.

• Collaborate closely with data scientists, data engineers, and DevOps to ensure seamless integration and performance of models in AWS and Databricks environments.

• Build automated workflows for model deployment, monitoring, and retraining, ensuring high availability and reliability.

• Develop processes for tracking, logging, and versioning of models to support reproducibility and auditability.

• Implement monitoring solutions to track model performance and data drift, providing insights to maintain and improve model quality over time.

• Troubleshoot, debug, and optimize ML pipelines to improve efficiency and reduce latency.

• Stay updated with the latest advancements in MLOps tools and practices, ensuring that our infrastructure remains cutting-edge and future-ready.

WHAT YOU WILL NEED

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.

• Hands-on experience in MLOps, DevOps, or related fields with a focus on deploying and maintaining ML models in Production.

• Strong experience with AWS services (e.g., S3, EC2, SageMaker, Lambda) and Databricks.

• Proficiency in building CI/CD pipelines for ML models using tools like Git, Jenkins, or similar.

• Experience with containerization (Docker) and orchestration (Kubernetes) in a cloud environment.

• Solid programming skills in Python, with experience in ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Familiarity with monitoring and logging tools for tracking model performance and data quality, such as Prometheus, Grafana, or CloudWatch.

• Excellent problem-solving skills, with a proactive and detail-oriented approach to addressing challenges.

• Strong communication skills with an ability to work effectively in cross-functional teams.

NICE TO HAVE, BUT NOT A DEALBREAKER

• Experience with Databricks MLflow or similar model management frameworks.

• Knowledge of data governance, security best practices, and compliance in the context of ML model deployment.

• Experience with Spark for large-scale data processing in a Databricks environment.

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Learn more about Fox Tech at https://tech.fox.com 

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We 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.
Click here to learn more about the diverse communities of people behind our brands. 

Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $121,500.00-160,000.00 annually for high cost labour markets such as but not limited to New York City and Los Angeles, $101,200.00-133,300.00 annually for all other US locations. This role is also eligible for 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.