THE COMPANY

We are an ambitious, well-funded, high-growth global technology company transforming the hotel industry. At Duetto, we are passionate about creating innovative analytical solutions to help hoteliers thrive. Although we work hard, the work atmosphere is casual, flexible, collaborative, and most of all, fun.

Duetto offers an open and collaborative work environment and believes that by cultivating a team with diverse backgrounds, perspectives, and experiences, it will continue to lead the industry with its cutting-edge platform-based hospitality technology.

Introduction

We are seeking a Senior / Lead MLOps Engineer to lead the design and implementation of scalable MLOps pipelines and infrastructure. At Duetto, you’ll take on the unique challenge of building a cost efficient platform that trains, deploys, and monitors thousands of ML models, one for each hotel customer. As we modernize our data and ML infrastructure to drive the company’s next phase of growth, you will play a key role in optimizing the model lifecycle and ensuring deployment, monitoring, and maintenance of models in production. You’ll collaborate closely with cross-functional teams to automate and streamline data ingestion, model development, deployment, and monitoring, making a direct impact on our advanced analytics capabilities.

Key Responsibilities:

• Define and execute the MLOps roadmap for large-scale model training and deployment across thousands of hotels.
• Drive strategic initiatives for ML systems , training and deployment infrastructure.
• Build and maintain MLOps pipelines using Databricks for data and feature engineering, leveraging the Sagemaker for model deployment and serving.
• Orchestrate ML training pipelines, batch and online inference processes, and endpoint deployments for thousands of models.
• Develop automated testing frameworks and ensure CI/CD for ML models.
• Manage infrastructure to optimize performance and cost.
• Configure monitoring systems to track model performance and data drift.
• Apply strategies for model retraining, versioning, and rollback
• Collaborate with data scientists, engineers, and DevOps teams to integrate models.

Qualifications:

• 5+ years of experience as an MLOps Engineer or in a similar role, with a strong background in DevOps and ML engineering.
• Bachelor's Degree in Computer Science, or related fields.
• Strong experience with AWS (SageMaker, Lambda, EMR, ECR) for ML model deployment and serving.
• Experience working with the Databricks platform, particularly in managing and optimizing data workflows and model operations, and using MLflow for model tracking, versioning and deployment.
• Skilled in Docker and Kubernetes for containerization and orchestration.
• Advanced Python skills, with knowledge of ML / DL frameworks like TensorFlow and PyTorch.
• Proficient in CI/CD tools (e.g. Github Action ) and Infrastructure as code (e.g. Terraform) for automated deployments.
• Experience with feature stores (e.g.,Databricks, Feast or AWS SageMaker Feature Store) and their role in ML workflows.
• Familiar with monitoring tools like Prometheus or Grafana or similar
• Strong communication skills and collaborative experience with data teams.
• Adaptable in fast-paced, ambiguous environments, balancing speed, rigor, and attention to detail.

About Duetto:

Duetto delivers a suite of SaaS cloud-native applications for hospitality businesses to optimize every booking opportunity for greater revenue impact. The unique combination of hospitality experience and technology leadership drives Duetto to look for innovative solutions to industry challenges. The software as a service platform allows hotels, casinos, and resorts to leverage real-time dynamic data sources and actionable insights into pricing and demand across the enterprise. For more information, please visit https://www.duettocloud.com/.