Senior ML Engineer — AI Platform & LLMOps

Disney; Orlando (FL); On-site; USD 140,000 - 200,000; Full time

Job summary

Disney Experiences Technology in Orlando is seeking a Senior Machine Learning Engineer to design, develop and deploy production AI/ML solutions that power the DX platform across attractions, resorts and experiences. You will lead cross-functional initiatives with a focus on scalable, reliable, and measurable impact.

You will own the AI/ML lifecycle from development to deployment, set up CI/CD pipelines, monitoring, and observability, and collaborate with product managers, data scientists, and

Qualifications

• 5+ years of proven expertise in designing, building, and deploying AI/ML solutions at scale, with 1-2 years of production experience in Generative AI technologies.
• Comprehensive MLOps / LLMOps experience with hands-on implementation of CI/CD pipelines, model and agent monitoring, versioning, observability, and lifecycle management in production.
• Production deployment experience on major cloud platforms (AWS, Azure, or GCP) with a demonstrated ability to architect, scale, and operate cloud-native ML solutions.
• Expert-level programming proficiency in Python and AI/ML development ecosystems.
• Strong foundation in machine learning including statistical modeling, supervised and unsupervised learning algorithms.
• Advanced skills in prompt engineering with a deep understanding of optimization techniques and best practices for LLM interactions.
• Versatile ML skillset spanning traditional techniques (classification, regression, clustering) and cutting-edge deep learning approaches.
• Production-grade Generative AI experience deploying and maintaining LLMs and multi-modal models in live environments.

Responsibilities

• Own the operational backbone of the AI/ML platform — design and run the CI/CD pipelines, model/agent versioning, automated deployment, rollback, and release management that move systems from experimentation to production reliably and repeatably.
• Stand up comprehensive observability and monitoring infrastructure — model/agent performance, drift, data quality, latency, cost, and reliability — with alerting and automated remediation where possible.
• Develop production-scale AI systems, including multi-step agentic workflows and multi-agent orchestration platforms, and operationalize them end to end.
• Drive complete ownership of the AI/ML lifecycle — implementation, testing, deployment, and continuous operational monitoring — delivering projects on schedule and to specification .
• Design and implement Responsible AI frameworks — hallucination detection, safety guardrails, evaluation systems, and observability — to ensure model reliability, accuracy, and ethical deployment.
• Establish evaluation frameworks for Large Language Models and agent-based systems, measuring model quality, task success rates, safety compliance, and operational effectiveness.
• Champion LLMOps and MLOps best practices — infrastructure-as-code, reproducibility, automated testing, and environment parity — across the platform.
• Partner strategically with cross-functional stakeholders including product managers, data scientists, application teams, vendors, and partners to align on requirements, iterate on solutions, and deliver successful outcomes.
• Provide hands-on technical leadership, driving architectural decisions across AI development, LLMOps , quality assurance, and production deployment.
• Proactively identify and resolve technical blockers that could impact project timelines or deliverables.
• Communicate technical strategy and progress to executive leadership and key stakeholders with clarity and confidence.
• Engage directly in development and problem-solving on high-complexity technical challenges to maintain project velocity and quality.
• Drive innovation through research and experimentation with emerging AI technologies and frameworks, evaluating and integrating new capabilities that advance our platform.

Job description

Disney Experiences Technology in Orlando is seeking a Senior Machine Learning Engineer to design, develop and deploy production AI/ML solutions that power the DX platform across attractions, resorts and experiences. You will lead cross-functional initiatives with a focus on scalable, reliable, and measurable impact.

You will own the AI/ML lifecycle from development to deployment, set up CI/CD pipelines, monitoring, and observability, and collaborate with product managers, data scientists, and