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Aspenview Technology Partners

Machine Learning / AI Software Engineer

Latin America

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hirly's read of this role

Role family
Engineering
Seniority
Mid level
Country
CO
Work mode
Remote-friendly
First seen by hirly
28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Build the Future with AspenView Technology Partners

At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently.

As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.

Why Join AspenView?

At AspenView, we’re more than a nearshore IT partner—we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients—and meaningful career paths for our people.

Here’s what you can expect:

Competitive base

Flexible work model: hybrid, remote, or in-office

Real growth opportunities and leadership visibility

Inclusive, respectful culture that blends U.S. innovation with Colombian heart

A company that listens, invests in you, and celebrates wins together

Step into a high-imp act role as a Machine Learning / AI So ftware Engineer, where you will drive AI-enabled decisioning for an enterprise payments and commerce platform in the travel and hospitality sector . Working in an embedded, client-side collaboration model, you will partner closely with stakeholders to translate complex business requirements into deployable, domain-tuned models that outperform generic baselines .

What you will do:

ML Solution Delivery & Agentic AI

Develop and deploy machine learning solutions to production, translating business requirements into deployable ML .

Build on AWS Bedrock / AgentCore for specialized agentic use cases .

Support agent QA and evaluation across workflows .

Data Engineering & Pipelines

Build and maintain robust data pipelines that feed models .

Ensure strict data quality and reproducibility across the ecosystem .

Observability & Monitoring

Instrument comprehensive observability for AI workloads .

Track model performance and drift over time to ensure continuous improvement in production .

Tools & Technologies:

Platforms & Infrastructure: AWS Bedrock / AgentCore, AI Observability tooling

Security & DevSecOps: MLOps, Model Governance, Agent QA/Evaluation

Cloud & IaC: Python, Cloud AI on AWS, Data Pipelines

What you bring:

Experience: 5+ years in machine-learning / AI engineering, with required domain experience in the travel & hospitality industry (specifically decisioning models like fraud, dispute, and guest-servicing) . You also hold a Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience .

Consulting / Leadership: Strong written and spoken English for seamless, embedded client-side collaboration . You are LatAm-based and aligned to U.S. Eastern Standard Time (EST) .

Mindset: A results-driven approach focused on domain-tuned decisioning, ensuring pipelines are reliable and AI workloads are observable and well-governed .

Visa Sponsorship

AspenView does not sponsor employment visas for this role. Applicants must be permanently authorized to work in their country of residence and must not require visa sponsorship now or in the future.

Equal Opportunity Employer

AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

Original posting on Aspenview Technology Partners's site ↗

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