Senior Machine Learning Engineer / MLOps Engineer

Salary Details

Salary Description: Competetive Salary Offered

Job Description For Senior Machine Learning Engineer / MLOps Engineer

Description

The Opportunity
At Hyatt, we're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent - talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners, and colleagues.Hyatt seeks an extraordinary Machine Learning / MLOps Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers, and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business.In this role, you will design and implement algorithmic product architectures across Personalization, Generative AI, Forecasting, and Decision Science domains, as well as foundational MLOps frameworks to bring our machine learning models to life across the full lifecycle of the product including data ingestion, ML processing, and results delivery/activation. This role will work cross-functionally with various data science teams, data engineering teams, and data architecture teams. The ideal candidate can serve as both a solutions architect as well as hands-on implementation engineer and guide the team toward best-in-class MLOps platform and algorithmic product implementations.You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about machine learning and AI.Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isn't just a nice to have, it's a must. You will be part of a team passionate about diversity, equity, and inclusion, committed to nurturing curiosity and new skills and building connections with stakeholders, colleagues, and guests across the organization.

Who We Are

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 guests have been at the heart of our business and helped Hyatt become one of the world's best and fastest-growing hospitality brands. 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.

Why Now?

This is an exciting time to be at Hyatt. We are growing rapidly and are looking for passionate changemakers to be a part of our journey. The hospitality industry is resilient and continues to offer dynamic opportunities for upward mobility, and Hyatt is no exception.

How We Care for Our People

Our purpose sets us apart-to care for people so they can be their best. Every business decision is made through the lens of our purpose, and it informs how we have and will continue to support each other as members of the Hyatt family. Our care for our colleagues is the key to our success. We're proud to have earned a place on Fortune's prestigious 100 Best Companies to Work For® list for the last ten years. This recognition is a testament to how our Hyatt family continues to come together to care for one another, our commitment to a culture of inclusivity, empathy, and respect, and making sure everyone feels like they belong.

We're proud to offer exceptional corporate benefits which include:

•Annual allotment of free hotel stays at Hyatt hotels globally

•Flexible work schedules

•Work-life benefits including well-being 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

•Paid Time Off, Medical, Dental, Vision, 401K with company match

Our Commitment to Diversity, Equity, and Inclusion

Our success is underpinned by our diverse, equitable, and inclusive culture and we are committed to diversity across the board-from whom we hire and develop, the organizations we support, and whom we buy from and work with.

Being part of Hyatt means always having space to be you. Our global teams are a mosaic of cultures, ethnicities, genders, ages, abilities, and identities. We constantly strive to reflect the world we care for with teams that achieve and grow together. To learn more about our commitments to DE&I, please visit the Why Hyatt section of the Hyatt career page.

Who You Are

As our ideal candidate, you understand the power and purpose of our Culture of Care and embody our core values of Empathy, Inclusion, Integrity, Experimentation, Respect, and Well-being. You enjoy working with others, are results-driven, and seek various opportunities to develop personally and professionally.

The Role

•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 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 team to ensure solutions meet required standards.

Qualifications
Experience Required:

•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

The position responsibilities outlined above are in no way to be construed as all-encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

We welcome you:

Research shows that women, people of color, and other historically excluded groups, tend to apply to jobs, only if they meet all the listed job qualifications. Unsure if you check every box, but feeling inspired to enhance your career? Apply. We'd love to consider your unique experiences and how you could make Hyatt even better.