Machine Learning Engineer

Cuesta Partners; 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 is looking for a Machine Learning Engineer in Latin America interested in consulting, to work with our broad base of clients on various engagements, delivering AI-driven solutions using modern technologies and best practices while mentoring others.

As a member of our data practice, you will play a key role in shaping our clients' AI and machine learning capabilities. Your mission will be to develop and deploy machine learning models that enhance business insights and operational efficiencies. You will collaborate with cross-functional teams to ensure seamless model integration and optimization.

What We're Looking For:

• 3-5 years of prior experience as a ML Engineer.
• Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field.
• Proven experience as a Machine Learning Engineer with expertise in designing, developing, and deploying ML models.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Strong understanding of algorithms, statistics, and machine learning techniques.
• Experience deploying models using cloud platforms (AWS, GCP, or Azure).
• Strong problem-solving skills and ability to work in a collaborative environment.

What You'll Do:

• Design, develop, and deploy machine learning models for a variety of applications, including predictive analytics, classification, and clustering.
• Build and optimize scalable, end-to-end ML pipelines from data preprocessing and feature engineering to deployment and retraining, ensuring efficient data flow and robust performance.
• Collaborate with data scientists, data engineers, and MLOps teams to ensure clean datasets, scalable infrastructure, and adherence to best practices in model deployment.
• Integrate ML models into production environments and continuously monitor, evaluate, and retrain them to maintain effectiveness and accuracy.
• Implement cloud-based solutions to support scalable and efficient machine learning workflows.
• Stay up to date on emerging ML/AI technologies and recommend new tools and techniques to enhance model performance and outcomes.
• Document processes and develop technical materials to support model transparency, reproducibility, and interpretability.

Why You’ll Love Working With Us

• Comprehensive Health Plan: Prepaid health coverage for you and your immediate family.
• Team Engagement Activities: Fun and meaningful events to connect and grow together.
• Annual Performance Bonus: Recognition and reward for your hard work.
• Growth Opportunities: Career development and advancement within the company.
• Flexible Work: Hybrid model with mostly remote work and one day per week in the office for team connection.
• Paid Time Off & Holidays: Generous leave to recharge and spend time with loved ones.

…and more! Additional perks and initiatives to make your experience at Cuesta Partners even better