ML Platform Engineer (Senior)

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.

Requirements

• 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.