Remote/Hybrid ML Engineer - Growth, Bonus & Flexible PTO

Cuesta Partners; Perímetro Urbano Barranquilla; Hybrid; COP 135,944,000 - 291,309,000; Full time

Benefits offered by this job

Health plan

Team events

Annual bonus

Growth opportunities

Hybrid work model

Paid time off

Job summary

Cuesta Partners, LLC is seeking a Machine Learning Engineer in Latin America to consult for a broad client base. You will design, develop, and deploy ML models, mentoring others while collaborating with cross-functional teams to integrate AI-driven solutions across engagements.

The role emphasizes building scalable ML pipelines, deploying models on cloud platforms, and staying current with emerging ML technologies.

Qualifications

• 3–5 years of experience as a ML Engineer.
• Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field.
• Proven experience designing, developing, and deploying ML models.
• Proficiency in Python and ML libraries TensorFlow, PyTorch, and scikit-learn.
• Strong understanding of algorithms, statistics, and ML techniques.
• Experience deploying models on AWS, GCP, or Azure.

Responsibilities

• Design, develop, and deploy ML models for predictive analytics, classification, and clustering.
• Build and optimize scalable end-to-end ML pipelines from data preprocessing to deployment and retraining.
• Collaborate with data scientists, data engineers, and MLOps teams for clean datasets and scalable infra.
• Integrate ML models into production environments and monitor/retrain them for accuracy.
• Implement cloud-based solutions to support scalable ML workflows.
• Stay updated on new ML/AI technologies and recommend tools to improve performance.
• Document processes and develop materials to support model transparency and reproducibility.

Skills

Python

ML fundamentals

Problem solving

Education

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

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Job description

Cuesta Partners, LLC is seeking a Machine Learning Engineer in Latin America to consult for a broad client base. You will design, develop, and deploy ML models, mentoring others while collaborating with cross-functional teams to integrate AI-driven solutions across engagements.

The role emphasizes building scalable ML pipelines, deploying models on cloud platforms, and staying current with emerging ML technologies.