Machine Learning Software Engineer

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-impact role as a Machine Learning / AI Software 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