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.

Role Description This Role is Perfect for You If You Love: - A high-energy start-up working with a brilliant and passionate team - Working on problems that make a real difference in people’s lives - Understanding and delivering on reliable and well-characterized products and deliverables within a highly innovative and fast-changing environment: clinical data extraction and aggregation, the relation between data processing and QA framework; LLM tuning and training, pedantic data curation, compute architecture, data exchange. - Rockstar teammates: you will be working with a strong team with decades of prior work experience in artificial intelligence, software systems, molecular biology, and clinical medicine - Innovation and problem solving to provide order-of-magnitude improvements in capabilities for data handling and analysis while maintaining traceable data and methods development We are hiring an AI Curation Data Scientist who will, using traditional computing and custom AI model training, work on mission-critical projects driven by xCure’s product development needs and will expand xCure’s complex, innovative health data processing, extraction, and analysis capabilities. We’re looking for an individual who values team-building, cooperation, and communications with colleagues to serve the needs of our customers. Projects will include significant data processing challenges, such as C-CDA XML parsing and de-identification of structured and unstructured EHR content. Equally important projects will address data curation and custom AI model training. You will author software and AI models and contribute to data set curation. You will coordinate data set quality assurance within an innovative, fast-moving team. Team responsibilities are key requirements for this position, which will deliver large and complex data products and data analysis tools. Qualifications - Masters degree or equivalent experience in Computer Science, Software Engineering, Statistics, Biology, or related field - Minimum of 5 years of hands-on experience in data science, machine learning, AI, data analysis, software development, and/or predictive analytics - Experience applying generative AI and transformer models, especially training of LLMs - Significant experience with curating data sets to train LLMs - Significant hands-on coding experience with LLMs, embeddings models, sentence_transformers, and authoring python code to build data extraction and/or classification tools - Significant prior work experience with parsing XML, JSON, and/or other complex data formats, preferably C-CDA health data - Experience with TensorFlow, PyTorch, and/or scikit-learn - Software development skills including git - Proven efficiency using, and cautious approach to using, LLM-assisted coding - Experience writing unit and integration tests for scientific/clinical data software as well as with developing scientifically motivated data quality assessments - Flexible, innovative, can-do approach to delivering software and data products balanced with team cooperation - A passion for successful delivery of team work products Requirements - Extensive experience with data handling efficiency tools, such as jq, xq, Unix command-line tools such as sed, bash programming - Deep understanding of regex - Extensive AWS experience and understanding of tradeoffs for different types of data storage for AI training - Significant experience with PHI and PII, HIPAA, and de-identification is a major plus - Software development experience in multiple coding languages - Confidence extending the capabilities of open source tools - Experience with multiple approaches to LLM-assisted coding, such as within Visual Studio, copilot, Claude Code; and familiarity with frontier and open model capabilities - Experience with remote teams and solving technical project communications challenges Location xCures operates in a distributed, remote-first environment. Candidates may be located anywhere in the United States. Occasional travel to company offsites or key meetings may be required. The successful candidate must already have authorization to work in the United States. At this time, xCures does not offer sponsorship. Benefits - Salary range: 100,000 to 165,000 annually - Medical, Dental, Vision insurance - 401k - Equity options