Senior ML Engineer, Generative AI

Hyatt

Estado de México

Presencial

MXN 600.000 - 900.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Estancias gratuitas en hoteles

Iniciativas de bienestar

Política de asistencia familiar

Descripción de la vacante

Un hotel internacional busca un Ingeniero de Machine Learning para unirse al equipo en Ciudad de México. En este rol ejecutivo, serás responsable de diseñar y mantener soluciones de IA, colaborando con equipos de ciencia de datos para maximizar su impacto. Se requiere una maestría en ciencias de la computación y al menos 5 años de experiencia en soluciones de IA en la nube, especialmente con AWS y habilidades en Python. Se ofrecen beneficios laborales como alojamientos gratis y beneficios de bienestar.

Formación

Maestría en ciencias de la computación o campos relacionados requeridos.
5+ años implementando soluciones de inteligencia artificial en un entorno en la nube.
Experiencia operando en un entorno de metodología ágil y en conceptos de DevOps y CI/CD.

Responsabilidades

Colaborar con científicos de datos para diseñar servicios de IA y arquitecturas que activen modelos de ML.
Implementar y mantener nuestra plataforma MLOps, tecnologías y procesos.

Conocimientos

Python

SQL

PySpark

Docker

MLOps

Agile Methodology

Educación

Maestría en ciencias de la computación o ingeniería de software

Herramientas

AWS

Descripción del empleo

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At Hyatt, we believe in the power of belonging and creating a culture of care, where our colleagues become family. Since 1957, our colleagues and our guests have been at the heart of our business and helped Hyatt become one of the best and fastest-growing hospitality brands in the world. Our transformative growth and the addition of new hotels, brands, and business lines can open the door for exciting career and growth opportunities for our colleagues. As we continue to grow, we never lose sight of what’s most important: People. We turn trips into journeys, encounters into experiences, and jobs into careers.

Responsibilities

Partner with data scientists to design AI services and architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations.
Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable.
Implement and productionize final solutions via infrastructure-as-code pattern.
Implement, evolve, and maintain our MLOps platform, technology, and processes, including but not limited to Feature Store, ML Observability, ML Governance, Training and Deployment pipelines, etc.
Enhance and maintain existing AI services as needed to maximize the impact of the algorithmic product.
Partner with the data engineering team to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact.
Stay up to date with the latest AI and MLOps design patterns as well as AWS services with respect to Machine Learning Engineering.
Partner with data architecture, data governance, and security teams to ensure solutions meet required standards.

Qualifications

Master’s degree in computer science, software engineering, or related fields required.
5+ years of implementing AI solutions in a cloud environment with a focus on AI services and MLOps foundations. Hospitality experience not required.
Expertise in AWS cloud services.
Expertise in Python, SQL, PySpark, Docker.
Experience with streaming and batch data architectures at scale.
Experience operating in an Agile Methodology environment.
Experience with DevOps and CI/CD concepts.
Excellent communication and teamwork skills.
Position will not require customer-facing interactions.

Compensation package

Annual allotment of free hotel stays at Hyatt hotels globally.
Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center.
A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption.

Seniority level