ML Engineer | Hybrid/Remote, Build AI Solutions

Cuesta Partners, LLC; Medellín; Hybrid; COP 291,309,000 - 420,780,000; Full time

Benefits offered by this job

Health plan

Team engagement activities

Annual performance bonus

Growth opportunities

Hybrid work model

Paid time off & holidays

Job summary

Cuesta Partners, LLC is seeking a Machine Learning Engineer with 3–5 years of experience to work across Latin America on consulting engagements. You will deliver AI-driven solutions, mentor others, and help shape clients' ML capabilities.

The role emphasizes designing, deploying, and monitoring ML models, building scalable pipelines, and collaborating with cross-functional teams to ensure production-ready solutions. Hybrid work with global client-facing projects is expected.

Qualifications

• 3–5 years of prior experience as an ML Engineer.
• Bachelor's or Master's degree in CS, AI, DS, or related field.
• Proven experience designing, developing and deploying ML models.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of algorithms, statistics, and ML techniques.
• Experience deploying models on AWS, GCP, or Azure.
• Strong problem-solving and collaborative skills.

Responsibilities

• Design, develop, and deploy ML models for various applications.
• Build scalable end-to-end ML pipelines from data prep to deployment.
• Collaborate with data scientists, data engineers, and MLOps teams.
• Integrate models into production and monitor/retrain for accuracy.
• Implement cloud-based solutions to support ML workflows.
• Stay updated on emerging ML/AI tech and recommend tools.
• Document processes and create materials for transparency and reproducibility.

Skills

ML experience

Problem solving

Team collaboration

Education

Bachelor's or Master's in CS/AI/DS

Tools

Python

TensorFlow

PyTorch

scikit-learn

Cloud platforms (AWS/GCP/Azure)

Job description

Cuesta Partners, LLC is seeking a Machine Learning Engineer with 3–5 years of experience to work across Latin America on consulting engagements. You will deliver AI-driven solutions, mentor others, and help shape clients' ML capabilities.

The role emphasizes designing, deploying, and monitoring ML models, building scalable pipelines, and collaborating with cross-functional teams to ensure production-ready solutions. Hybrid work with global client-facing projects is expected.