4 дня назад
Lead Data & AI Platform Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data & AI Platform Engineer (Databricks/AI): Designing and scaling data, analytics, and AI platforms for customer operations intelligence across Ticketmaster’s global support ecosystem with an accent on Databricks pipelines, machine learning, NLP, and conversational AI. Focus on building trusted enterprise data platforms, measuring AI performance, implementing governance and CI/CD standards, and leading complex cross-functional initiatives.
Location: Remote - United Kingdom
Company
operates Ticketmaster, a global ticket marketplace and provider of enterprise tools and services for the live entertainment industry.
What you will do
- Design and scale data, analytics, and AI platforms supporting customer operations, automation, and operational intelligence.
- Architect and optimize Databricks-based pipelines that unify customer, operational, workforce, and AI datasets.
- Develop machine learning, NLP, generative AI, and conversational AI capabilities to improve customer experience and automation performance.
- Deliver operational insights and executive-level reporting for strategic decision-making.
- Establish standards for data quality, platform reliability, CI/CD, governance, and AI lifecycle management.
- Provide technical leadership, coaching, and guidance to engineers and data scientists.
Requirements
- Strong experience designing scalable data platforms, enterprise data architectures, and Databricks-based solutions.
- Strong experience with Databricks, Spark, cloud data platforms, and enterprise-scale data pipelines.
- Experience developing AI and machine learning solutions with Python and modern data science frameworks.
- Background in statistics, machine learning, NLP, forecasting, operational analytics, intent modeling, NLU analytics, and AI performance measurement.
- Experience with CI/CD, version control, automated testing, DevOps practices, dashboards, and BI reporting.
- Ability to lead complex initiatives, manage stakeholders, and communicate effectively across technical and business teams.
Nice to have
- Experience with generative AI, LLM orchestration, prompt engineering, or AI-assisted automation workflows.
- Familiarity with Kubernetes, Docker, GitLab CI/CD, and modern machine learning deployment frameworks.
- Experience in global or enterprise-scale customer operations environments.
- Knowledge of Zendesk, Five9, Amelia, or related conversational AI tooling.
Culture & Benefits
- Inclusive environment focused on reliability, teamwork, integrity, and belonging.
- Support for work-life balance and professional and personal development.
- Collaboration with product, operations, engineering, workforce management, security, and AI teams.
- Opportunity to build technology supporting millions of live entertainment fans worldwide.
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