ML/AI Engineer – Enterprise AI for Travel & Payments

AspenView Technology Partners, Inc.; United States; Hybride; USD 140 000 - 180 000; Plein temps

Avantages offerts par ce poste

Flexible work model

Hybrid/remote options

Résumé du poste

AspenView Technology Partners, Inc. is seeking a Machine Learning / AI Software Engineer to drive AI-enabled decisioning for an enterprise payments and commerce platform in travel and hospitality. Collaborate with stakeholders to translate complex requirements into deployable models and domain-tuned solutions.

We value 5+ years in ML/AI, strong English, LATAm-based with EST alignment, and a results-driven approach to observable, well-governed AI workloads.

Qualifications

• 5+ years of experience in machine learning / AI engineering with travel & hospitality domain expertise.
• Bachelor’s degree in Computer Science or Software Engineering or equivalent.
• Strong English communication for embedded client collaboration; LatAm-based with EST alignment.
• Authorized to work in home country; visa sponsorship not provided.

Responsabilités

• Develop and deploy machine learning solutions to production environments.
• Build on AWS Bedrock / AgentCore for specialized agentic use cases.
• Support QA and evaluation across AI workflows.
• Design robust data pipelines and ensure data quality and reproducibility.

Connaissances

Machine Learning

AI Engineering

Client-facing Communication

English Proficiency

Decisioning Models

Formation

Bachelor’s degree in Computer Science / Software Engineering

Outils

AWS Bedrock

AgentCore

Python

Description du poste

AspenView Technology Partners, Inc. is seeking a Machine Learning / AI Software Engineer to drive AI-enabled decisioning for an enterprise payments and commerce platform in travel and hospitality. Collaborate with stakeholders to translate complex requirements into deployable models and domain-tuned solutions.

We value 5+ years in ML/AI, strong English, LATAm-based with EST alignment, and a results-driven approach to observable, well-governed AI workloads.