aipythonkubernetesterraformmlopsmachine learninggenerative aillmopsresponsible ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$137к-184к/год
$180к$200кмедиана$270к
По похожим ролям (48) ~ $200к/год
На СНГ рынке: $4.6к/мес ($4к - $4.7к)
67
Хорошая вакансия
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Disney предлагает четко описанную senior-позицию с продакшен-задачами в AI/ML и хорошим пакетом льгот, но зарплата заметно ниже ориентира для похожих ролей, а работа полностью офисная.
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Ниже рынкаТолько офисСовременный AI-стекПонятные задачиКрупный продукт
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr Machine Learning Engineer (AI): Building and operating enterprise-grade AI/ML systems and an AI enablement platform with an accent on Generative AI, agentic workflows, LLMOps, and Responsible AI. Focus on designing CI/CD and observability infrastructure, evaluating LLM and agent systems, and deploying reliable production-scale models.
Location: Orlando, Florida, United States; in-office position
Salary: $137,200–$184,000 per year, plus potential bonus and/or long-term incentive units.
Company
Disney Experiences Technology develops digital and physical guest experiences across parks, resorts, cruise lines, vacation products, attractions, food and beverage, transportation, merchandise, and digital products.
What you will do
Design, develop, deploy, and operate enterprise-grade AI/ML solutions, including agentic systems, multimodal models, retrieval-augmented generation, and Responsible AI applications.
Own CI/CD pipelines, model and agent versioning, automated deployments, rollbacks, release management, and infrastructure-as-code for the AI/ML platform.
Build observability and monitoring for model performance, drift, data quality, latency, cost, reliability, and automated remediation.
Develop multi-step agentic workflows and multi-agent orchestration platforms for production use.
Create evaluation frameworks for LLMs and agent-based systems, covering quality, task success, safety compliance, and operational effectiveness.
Provide hands-on technical leadership, make architectural decisions, resolve blockers, and collaborate with product managers, data scientists, application teams, vendors, and partners.
Requirements
5+ years of experience designing, building, and deploying AI/ML solutions at scale, including 1–2 years of production experience with Generative AI.
Hands-on MLOps and LLMOps experience with CI/CD, monitoring, observability, versioning, and lifecycle management.
Production experience deploying and operating cloud-native ML solutions on AWS, Azure, or GCP.
Expert-level Python programming and strong knowledge of machine learning, statistical modeling, supervised and unsupervised learning, and deep learning.
Production experience with LLMs and multimodal models, plus advanced prompt engineering and optimization skills.
Bachelor’s degree in a relevant technical field or equivalent work experience, with strong analytical, communication, collaboration, and technical leadership skills.
Nice to have
Experience with Docker, Kubernetes, and Terraform for ML workloads.
Experience with vector databases and embedding technologies.
Master’s degree or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, Mathematical Sciences, Information Systems, Software, Electrical, or Electronics Engineering.
Culture & Benefits
Work on AI enablement infrastructure supporting Disney Experiences digital initiatives.
Collaborate across product, data science, application, vendor, and partner organizations.
Medical, financial, and other benefits are available according to the offered level and position.
Potential bonus and/or long-term incentive units may be included in the compensation package.
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