Sr Machine Learning Engineer

Overview In this role you will design, build, and deploy enterprise-grade AI/ML solutions at scale within the DXT AI Platform, enabling scalable, responsible AI capabilities across Disney’s experiences. You will lead cross-functional efforts, implement production-grade ML systems and CI/CD pipelines, and drive observable, reliable deployments. The position emphasizes ownership of the AI/ML lifecycle, collaboration with product and engineering partners, and hands-on problem solving to deliver high-impact results. Compensation / Benefitsbonus and/or long-term incentive unitsmedical benefitsfinancial benefitscareer development opportunities ResponsibilitiesOwn the AI/ML platform backbone, including CI/CD, versioning, deployment, rollback, and release managementBuild observability for model/agent performance, drift, data quality, and latency with automated remediationDevelop production-scale AI systems, including multi-step agentic workflows and orchestrationLead end-to-end AI/ML lifecycle delivery—from implementation to monitoring—on scheduleDesign and implement Responsible AI frameworks with safety, evaluation, and observabilityEstablish evaluation frameworks for LLMs and agent systems to measure quality and safetyChampion MLOps/LLMOps best practices across the platformCollaborate with product managers, data scientists, and vendors to define requirements and deliver outcomesProvide hands-on technical leadership and drive architectural decisions across AI development and deploymentIdentify and resolve blockers to maintain project velocityCommunicate technical strategy to executives and stakeholdersEngage directly in solving high-complexity challenges to sustain velocityDrive innovation by experimenting with emerging AI technologies and frameworks Key requirements5+ years designing, building, and deploying AI/ML solutions at scale1–2 years of production experience in Generative AI technologiesComprehensive MLOps/LLMOps experience with CI/CD, monitoring, versioning, observabilityProduction deployment on major cloud platforms (AWS, Azure, or GCP)Expert-level Python programmingStrong foundation in machine learning (statistical modeling, supervised/unsupervised learning)Advanced prompt engineering and optimization for LLM interactionsExperience with traditional ML techniques and modern deep learningProduction-grade Generative AI experience deploying LLMs and multi-modal modelsExcellent analytical, communication, and cross-functional collaboration skillsExperience influencing in matrix organizationscommunicationcollaborationleadershipPythonMLOps/LLMOpsCI/CD