Largeton GroupRemote
Senior Machine Learning Engineer – Data Science & Analytics
United States of America
Full Time
5 hours ago
H1B Sponsor Likely
Key skills
PythonSQLAIMLLLMData EngineeringAnalyticsAWSGCPDockerSageMakerCI/CDCommunicationCollaboration
About this role
Largeton Group is 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.
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
Requirements:
- 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
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
- Experience with SageMaker
- Experience with feature stores
- Experience with real-time inference
- Experience with hospitality or personalization systems
- Experience with LLM-enabled apps