Duetto · 2 months ago
ML Platform Engineer (Senior)
United States
Full-time
Remote
Mid, Senior Level
3+ years expDuetto is a high-growth global technology company transforming the hotel industry with innovative analytical solutions. They are seeking a Senior ML Platform Engineer to build and scale machine learning infrastructure and workflows, supporting the development, training, deployment, and monitoring of machine learning models for hotel customers.
Big DataBusiness IntelligenceCloud ComputingHospitalityPrice ComparisonSaaSTravel
Responsibilities
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
Qualification
Required
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
Company
Duetto
Duetto specializes in cloud applications, SAAS, revenue management systems, and hotel leadership software.
51-200 employees
H1B Sponsorship
Duetto has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (3)
2023 (3)
2022 (5)
2021 (3)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$143.2MKey Investors
Warburg PincusIcon VenturesAccel
2024-06-27Acquired
2018-02-14Series D· $80M
2015-08-04Series C· $30M
Leadership Team
David Woolenberg
Chief Executive Officer
Patrick B.
Co-Founder, Advisor
Recent News
Venture Capital Journal
2026-01-22
2025-12-05
Company data provided by crunchbase