• Innovate and improve the machine learning models to enable financial progress for customers • Design, develop, and deploy machine learning models to solve practical problems • Partner with business leaders and technical experts to develop new data sources and improve modeling methodology

Role Description This is a senior, hands-on technical leadership role for someone who can design, build, and scale end-to-end GenAI systems — from architecture decisions to production deployment. - Lead LLM-based solution design (RAG, agents, fine-tuning strategies) - Build end-to-end GenAI applications (data retrieval orchestration APIs UI) - Own critical architectural decisions (model selection, vector DBs, pipelines) - Implement AI governance, safety, and compliance layers (PII, guardrails, monitoring) - Mentor engineers and drive AI best practices across teams Qualifications - 6+ years in Data Science / AI Engineering - 4+ years building production-ready Python systems - 2+ years delivering real-world LLM / GenAI applications - Proven experience with RAG pipelines (design + optimization) - Strong understanding of LLM trade-offs (RAG vs fine-tuning vs hybrid) - Experience making architecture-level decisions - Fluent English & strong stakeholder communication Requirements - Experience with LlamaIndex / LangGraph - Exposure to multimodal models - Experience with Azure cloud ecosystem - Ability to build lightweight UIs / demos for AI systems - Mentoring junior & mid-level engineers Benefits - Direct ownership of enterprise-scale GenAI systems - Opportunity to shape AI architecture decisions end-to-end - Exposure to global clients across multiple industries - Strong learning ecosystem (110+ trainings/year + Udemy access) - Clear path toward technical leadership and influence

Role Description This is a senior, hands-on technical leadership role for someone who can design, build, and scale end-to-end GenAI systems — from architecture decisions to production deployment. - Lead LLM-based solution design (RAG, agents, fine-tuning strategies) - Build end-to-end GenAI applications (data retrieval orchestration APIs UI) - Own critical architectural decisions (model selection, vector DBs, pipelines) - Implement AI governance, safety, and compliance layers (PII, guardrails, monitoring) - Mentor engineers and drive AI best practices across teams Qualifications - 6+ years in Data Science / AI Engineering - 4+ years building production-ready Python systems - 2+ years delivering real-world LLM / GenAI applications - Proven experience with RAG pipelines (design + optimization) - Strong understanding of LLM trade-offs (RAG vs fine-tuning vs hybrid) - Experience making architecture-level decisions - Fluent English & strong stakeholder communication Requirements - Experience with LlamaIndex / LangGraph - Exposure to multimodal models - Experience with Azure cloud ecosystem - Ability to build lightweight UIs / demos for AI systems - Mentoring junior & mid-level engineers Benefits - Direct ownership of enterprise-scale GenAI systems - Opportunity to shape AI architecture decisions end-to-end - Exposure to global clients across multiple industries - Strong learning ecosystem (110+ trainings/year + Udemy access) - Clear path toward technical leadership and influence

Role Description 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. - Design, implement, and maintain robust, scalable ML pipelines for the production and deployment of machine learning models. - Collaborate closely with other 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 Fox infrastructure remains cutting-edge and future-ready. Telecommuting permitted from any location in the U.S. Qualifications - Master’s degree in Data Science, Computer Science, Information Technology, Engineering or related field. - Two (2) years of experience in data science or related experience in MLOps/DevOps. - Experience deploying and maintaining ML models in production. - Building CI/CD pipelines for ML models using tools such as Git and Jenkins. Requirements - Experience in ML frameworks such as TensorFlow, PyTorch and scikit-learn. - Experience in SQL, Python, Docker, and Kubernetes. - Knowledge of monitoring and logging tools used to track model performance and data quality such as Prometheus, Grafana and CloudWatch. - Experience with A/B testing and experiment design. - Experience with product analytics and working with event-level data. - 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. Benefits - Medical/dental/vision insurance. - 401(k) plan. - Paid time off. - Other benefits in accordance with applicable plan documents. - Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement. Company Description Fox Corporation produces and distributes 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.