Senior ML Platform Engineer, Duetto
Hotel revenue management software & solutions
Be an early applicant
Hotel revenue management software & solutions
201-500 employees
Be an early applicant
201-500 employees
Company mission
To become the most trusted, effective and widely used hotel technology company in the world.
Role
Who you are
- 3+ years of experience in ML engineering or a similar role building and deploying machine learning models in production
- Strong experience with AWS ML services (SageMaker, Lambda, EMR, ECR) for training, serving, and orchestrating model workflows
- Hands-on experience with Kubernetes (e.g., EKS) for container orchestration and job execution at scale
- Strong proficiency in Python, with exposure to ML/DL libraries such as TensorFlow, PyTorch, scikit-learn
- Experience working with feature stores, data pipelines, and model versioning tools (e.g., SageMaker Feature Store, Feast, MLflow)
- Familiarity with infrastructure-as-code and deployment tools such as Terraform, GitHub Actions, or similar CI/CD systems
- Experience with logging and monitoring stacks such as Prometheus, Grafana, CloudWatch, or similar
- Experience working in cross-functional teams with data scientists and DevOps engineers to bring models from research to production
- Strong communication skills and ability to operate effectively in a fast-paced, ambiguous environment with shifting priorities
What the job involves
- We are seeking a Machine Learning Engineer to help build and scale our machine learning infrastructure and workflows. At Duetto, you’ll take on the unique challenge of supporting the development, training, deployment, and monitoring of thousands of machine learning models, one for each hotel customer
- You’ll work closely with data scientists, DevOps, and platform engineers to deliver robust, reusable tooling for the entire ML lifecycle—including training pipelines, inference APIs, feature workflows, and monitoring hooks—within our AWS-native environment
- Your work will help us ensure that ML models are delivered quickly, reliably, and cost-effectively into production
- This is an opportunity to build ML systems at scale, contribute to the design of modern ML infrastructure on top of AWS and Kubernetes, and shape the future of machine learning at Duetto
- Develop, maintain, and scale machine learning pipelines for training, validation, and batch or real-time inference across thousands of hotel-specific models
- Build reusable components to support model training, evaluation, deployment, and monitoring within a Kubernetes- and AWS-based environment
- Partner with data scientists to translate notebooks and prototypes into production-grade, versioned training workflows
- Implement and maintain feature engineering workflows, integrating with custom feature pipelines and supporting services
- Collaborate with platform and DevOps teams to manage infrastructure-as-code (Terraform), automate deployment (CI/CD), and ensure reliability and security
- Integrate model monitoring for performance metrics, drift detection, and alerting (using tools like Prometheus, CloudWatch, or Grafana)
- Improve retraining, rollback, and model versioning strategies across different deployment contexts
- Support experimentation infrastructure and A/B testing integrations for ML-based products
Our take
Duetto launched in 2010 as a consultancy firm, initially offering profit optimisation consulting services. Since then, it has expanded and worked within the gaming, hotel, flight and software industries, with offices in America, Argentina and Europe.
Duetto is the first in the hospitality market to create a hotel business intelligence tool to offer more insights across hotel portfolios beyond manual spreadsheet reporting.
In 2024, Duetto was acquired by private equity firm GrowthCurve Capital, which will solidify the latter's leadership in hotel revenue management. Duetto will continue to build relationships with hotels across the world, and has surpassed 850 partner hotels in EMEA, representing more than 150,000 rooms.
Steph
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Feb 2018
$80m
SERIES D
Aug 2015
$30m
SERIES C
Total funding: $143.2m
Company benefits
- Work from home opportunities
- Health insurance
Company HQ
Financial District, San Francisco, CA
Leadership
Craig Weissman
(Co-Founder & Advisor)Experienced Engineering leader and former CTO at Salesforce.com from 2002-2011.
Patrick Bosworth
(Co-Founder & Advisor )Former Director of Business Strategy at the Wynn Las Vegas, before founding Duetto in 2010.
Marco Benvenuti
(Co-Founder & Advisor)Former Executive Director of Enterprise Strategy at the Wynn Las Vegas, before founding Duetto in 2010.
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