Senior Machine Learning Engineer – Data Science & Analytics

Job Summary Senior Machine Learning Engineer Data Science & Analytics

### 1. Role Overview

• Backend-focused machine learning engineer role within Data Science & Analytics.
• Responsible for building, deploying, and supporting scalable AI/ML systems in production (not a pure research/data science role).
• Collaborate with Data Scientists, Data Engineers, and Architecture teams to operationalize ML solutions for personalization, recommendations, analytics, chatbots, and operational intelligence.

### 2. Core Responsibilities

• Design and implement scalable backend architectures for ML products and services.
• Build, deploy, and monitor production-grade ML/AI systems across the product lifecycle (data ingestion, feature engineering, model integration, inference, batch/stream processing).
• Develop and optimize streaming and batch data pipelines; maintain feature stores.
• Implement infrastructure-as-code and CI/CD for ML services.
• Ensure latency, scalability, and reliability of ML systems.
• Support cloud-native ML infrastructure on AWS and GCP.
• Collaborate cross-functionally with Data Engineering, Architecture, Governance, and Security teams.
• Contribute to system design and technical architecture decisions.

### 3. Required Skills & Qualifications

• 5+ years of software engineering experience with cloud-native product solutions.
• Strong expertise in Python, SQL, PySpark, Docker.
• Experience building and maintaining backend systems for ML/algorithmic workloads.
• Strong AWS cloud experience; familiarity with GCP.
• Track record in designing large-scale streaming and batch data architectures.
• Experience with DevOps, CI/CD, and infrastructure-as-code.
• Strong analytical, collaboration, and communication skills.
• Ability to operate in ambiguous, fast-paced environments and drive end-to-end solutions.
• Preferred: Experience with SageMaker, feature stores, real-time inference, hospitality or personalization systems, and LLM-enabled apps.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent experience).

Summary

Seeking a backend-oriented Senior ML Engineer to build and operationalize large-scale production AI/ML services in cloud environments, supporting Hyatt s personalization, analytics, and AI initiatives. Requires strong software engineering fundamentals, cloud experience, and the ability to deliver robust, scalable ML solutions in a dynamic, cross-functional enterprise setting.